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The Analytics Show

The Analytics Show

By Jason Tan
Welcome to the podcast of The Analytics Show. We will learn from the leading industry experts using data and analytics to solve the problems and create values in practice.

We will also learn where their industry is heading to and how data and analytics will shape the industry in the future. Most importantly, how they are preparing their business for digital transformation and disruptions in the future.
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E100 - Craig Price - Perfecting Customer Experience by Perfecting Customer Engines with Data Science
Imagine getting served a burger but it’s all bun and patty. Nothing else. Weird, but not bad, I guess - especially if you’re hungry.  Now, imagine if your server strides over and adds on all your favourite toppings and fixings. Some tomato slices, cheese, a cold beer on the side, maybe even a cookie for dessert. This is what you came for! This is what will make you come back! But how did they know all your favourites? Well, this isn’t your first time here. They’ve been paying attention to what you like and what you don’t, and they’ve been taking note. The plain burger is customer service, but this is customer experience. All the little notes they’ve been making as you come in everyday, that’s where customer engines come in. Meet Craig Price Craig’s Role as a Data Science & AI Leader at Suncorp Group Craig Price is the Group Head of Data Science & Artificial Intelligence Centre of Excellence at Suncorp Group. For over 100 years, the Suncorp Group has been building futures, offering insurance, banking and wealth products and services through some of Australia and New Zealand’s most recognised financial brands. Their portfolio of brands includes AAMI, GIO, Suncorp Bank and Vero. Suncorp Group Limited is a top 50 ASX-listed company with over 9.5 million customers and 13,000 employees. They have been an ‘Employer of Choice for Gender Equality’ for six consecutive years, and in 2019, were awarded Silver Employer Status at the Australian LGBTI Inclusion Awards and the Susan Ryan Age Diversity Award. Craig’s Other Work in Finance, Actuarial, and Data Science at Suncorp Group​ Craig works with The Data Science & AI Centre of Excellence at the Suncorp Group to maximise the value that Suncorp gets from its investments by turning data into tangible business value. He manages a team of data scientists and analytics professionals building innovative solutions for market leading brands like AAMI, Suncorp, GIO, and Apia. Prior to this role, in Craig’s 20+ years with the Suncorp Group, he has taken on the roles of the Principal Actuary for Workers’ Compensation & CTP as well as for Motor Insurance, the Executive Manager of Personal Insurance Pricing Analytics, Modelling Acceleration, and Data Science. More recently, Craig was the Head of Data Science for Analytics & Business Engagement. Outside of work, Craig is passionate about making a difference in community development, disaster relief, and educating children through opportunities from STEM. Customer Engines, Customer Experience, and Intelligent Automation In this exclusive analytics podcast episode, Craig shares: His experience volunteering at ADRA Australia His role as the Group Head of Data Science & Artificial Intelligence CoE at the Suncorp Group The importance of having the Centre of Excellence model for data science and AI at an organisation like Suncorp What the financial service industry can do to win the long game If models like Next Best Action and Next Best Offer to reduce the churn rate could be incorporated into the next generation of customer engines and experience Embedding data analytics for better customer experience How this is different from traditional customer segmentation How the role of intelligent automation converges with his work in perfecting the customer experience Putting together multiple teams to create a powerful customer engine How FSI can replicate the customer experiences of big companies like Google and Amazon If these points will become important add-ons for the Customer Data Platform in the near future His advice for other companies in the industry to get started using intelligent automation and data analytics to build better customer experience Key lessons from his experiences in building these customer engines a
May 15, 2022
E99 - Fred Schebesta - Surviving the Rise of Cryptocurrency and the Metaverse in the Financial Industry
Imagine this. One day, you press a few buttons on your keyboard and your unique avatar is walking into a virtual bank. You go up to a virtual ATM, poke at some keys, and withdraw that Bitcoin you've been saving for a small treat. Next stop? Who knows! With the Metaverse and Cryptocurrency creeping up on us, the future is big and uncertain and could look vastly different from today. That includes those little things you do everyday, like banking. Meet Fred Schebesta Fred’s Role as a Fintech Leader at Finder Fred Schebesta is a Co-founder of Finder. Finder is an award-winning fintech assisting people around the world in making better financial decisions and improving their lives. Their vision is to become the world’s go-to destination for comparing. After starting out in Australia in 2006, Finder is now the most visited personal finance comparison website in Australia and are expanding around the world, with offices in the USA, the UK, Canada, the Philippines, Poland, and Singapore. Fred’s Other Work in Finance and Crypto Besides his work with Finder, Fred is currently a co-founder of Hive Empire Capital, a crypto investment fund interested in helping technical teams launch projects. He is also the Chief Executive Officer of his own project, Schebesta Ventures Pty Ltd, meant to share his proven systems and strategies with others. He is an Advisor at Balthazar, a scholar-driven NFT gaming platform for the metaverse. On top of all that, Fred is a contributor to multiple magazines where he writes on topics such as finance, crypto, entrepreneurship, and business. So far, he’s written for Cointelegraph, Entrepreneur Media, Yahoo Finance,, Forkast.News,, value walk, The Australian Financial Review, The Daily Hodl,, The Huffington Post, SUCCESS Magazine, and Fairfax Media. He has also spoken about business at the University of London and Cryptocurrency, the Metaverse, and Open Banking In this exclusive analytics podcast episode, Fred shares: His role as the Co-founder of Finder The Finder wallet and how it works Using data analytics to remove friction and improve customer experience How his work with crypto and the Metaverse industry connects with his work at Finder How the uprising of the Internet compares to the uprising of crypto How crypto and the Metaverse are impacting finance and banking What will help companies survive the uprising of crypto and the Metaverse How data science, AI, and Machine Learning impact crypto and the Metaverse What he is hoping to achieve with Open Banking and Finder Crypto and the Metaverse vs Open Banking How crypto and the Metaverse help Open Banking in creating a more fair and ethical landscape for the financial industry His advice for startups or innovators in the banking industry who want to use crypto and the Metaverse in the future If you are a data professional in the banking industry interested in how cryptocurrency and the Metaverse will affect your work in the future, this is the episode you do not want to miss out on.
May 08, 2022
E98 - Antony Ugoni - Getting a Seat at Decision-Making Tables as an Analytics Professional
“How do I get a place at the decision-making table?” For those of us in the data industry, we hear this question from other analytics professionals often. “How do I have my voice heard?” We face the challenge of trying - and often failing - to influence decisions in our organisations. Analytics is still seen as a subset of other teams. But how do you have your voice heard when no one is listening? Antony has the answer. Meet Antony Ugoni Antony’s Role as a Business Leader at Flow of Work Co Antony Ugoni is an Advisor at Flow of Work Co. Started up by a team of former colleagues, they believed it was time to rethink the way employees are developed, upskilled and deployed. With expertise in HR, innovation, people-analytics, technology, and behavioural science, Flow of Work is working with people-led organisations to maximise their workforce potential and help make their employees working hours more meaningful and enjoyable. Antony’s Other Roles in the Data Analytics Community Other than his role at Flow of Work, Antony represents the Australian data analytics community in various ways. At the University of Melbourne, Antony has the role of a Board Member at the Centre for Business Analytics’ Advisory Board. He is also a Chairperson at the Advisory Board of IAPA - the Institute of Analytics Professionals of Australia, and has been, until recently, a member of the Advisory Board for the Australian Alliance for Data Leadership and the Association for Data Driven Marketing and Advertising. With over 20 years in the industry and with these positions, Antony is ardently involved with activities and projects designed to drive analytic professionals to find seats at decision-making tables. It’s his belief that, with a data-driven and evidence-based approach to decision making, organisations can flourish. Value, Analytics Professionals, and Decision-Making Tables In this exclusive analytics podcast episode, Antony shares: Transitioning from a biostatistician to his current career His work as a board member for Centre for Business Analytics at University of Melbourne and the Chairperson at the Institute of Analytics Professionals of Australia What attracted him to join and serve at the organisations If analytics professionals are seen as valuable enough by organisations in general The biggest challenge analytics professionals face when trying to influence decisions in their organisations What can be done to solve this problem of not utilising data and tech Whether analytics is still seen as a subset of other teams How to convince C-Levels to change their perception of viewing analytics professionals as only playing a supportive role As a community, what can we do to help analytics professionals have a seat at decision-making tables His advice for data analytics professionals to achieve a career in the business world If you are an analytics professional looking to find a seat at decision-making tables or a business owner seeking to integrate a more customer-centric approach to your business, this is the episode you do not want to miss out on.
April 10, 2022
E97 - Colin Priest - Will I Lose My Job? Overcoming AI Paranoia with Human-Centric AI
“Aren’t you afraid of losing your job?” I jolted in my seat. I had been asked this out of nowhere. Had I made a mistake somewhere? Was I doing poorly here? “W-why do you ask?” I stuttered. “You know…to AI. The robots are taking over all the jobs in the future.” And then, my shaking was from laughter instead of fear. They regarded me with slight irritation at this. “Who do you think has to program the AI to do those jobs?” I smiled. He went quiet for a moment, and then excused himself. I turned back to my computer to give the AI up on my screen another prompt for a task I needed done. It certainly wouldn’t do it by itself. Meet Colin Priest Colin’s Role as an AI Leader at DataRobot Colin Priest is the Global Lead of AI Governance at DataRobot. DataRobot is an AI Cloud leader, delivering a unified platform for all users, all data types, and all environments to accelerate delivery of AI to production. It is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies globally. Colin’s Other Work in Leadership and Technology Colin Priest is a highly analytical and results-oriented professional with extensive experience supporting company long-term revenue, product-led growth, and customer engagement targets by driving the technical development and adoption of new technologies. He is an expert in leading digital transformation and automating legacy processes while removing frictions from the customer experience. Previously, Colin has taken on the roles of Chief Technology Officer at IntelliM, the Regional Director of General Insurance in Asia at Ageas Insurance Company, the Head of Risk and Pricing at Asia Capital Re, the Chief Technology Officer at Dapsco, the CEO at Sigma Plus Consulting, and the Chief Actuary and National Director Personal Lines at Royal and Sun Alliance. AI Paranoia, Data Science, and Human-Centric AI In this exclusive analytics podcast episode, Colin shares: What attracted him to continue staying in Singapore His advice for anyone interested in moving and working in the Asia region How he got into analytics and AI His advice for anyone transitioning from being an actuary to working in data science Balancing actuarial qualifications and data science The two most common misconceptions about AI that he has observed Forgetting that there are programmers and computer systems behind AI Overcoming AI paranoia and algorithmic aversion Giving end users a feeling of control over AI What human-centric AI really is Product design and software engineering in the data science industry An example of when an AI has failed due to a lack of human intervention How humans and AI complement one another to achieve the best possible results His advice for those looking to implement more human-centric AI into their businesses If you are an actuary interested in delving into the realm of data science or an analytics leader looking to implement human-centric AI into your business, this is the episode you do not want to miss out on.
April 03, 2022
E96 - Jacob Parker - The Consumer Data Right to Your Data and Open Banking
How do you feel about Facebook and Google making money off of your data? I’m guessing you’re not too keen on it to say the least, as are most of us. Then, do you know your rights to your data and how it’s used? The Consumer Data Right gives you more choice and more control over the data that businesses have about you, especially in banking. As privacy concerns rise, so does the concept of Open Data and Open Banking, where you decide what happens to your data. Meet Jacob Parker Jacob’s Role as a Open Data Leader at Fiskil Jacob Parker is the Founder, CEO, and Developer of Fiskil. Fiskil creates simple and sleek APIs that make it easy for businesses to tap into Open Data. They handle the hard work when it comes to accessing banking and energy data under the Consumer Data Right (CDR) in order for companies to focus on their core business. They have built the pipes between financial institutions, big and small. Jacob’s Other Work in Data Science Besides his work with Fiskil, Jacob is also currently a Member of Fintech Australia. FinTech Australia is the peak body for Australian financial services and technology and innovation. They were founded by startups, working with founders, startups, scaleups and the FinTech ecosystem. They represent their members and advocate for outcomes that facilitate the growth of the FinTech ecosystem with the goal of making Australia a leading FinTech market. Previously, Jacob has taken on the roles of Full Stacks Engineer at Secure Data Links, the Product Lead and Full Stack Developer at Mycelium, and Software Development & Product Management at SAP Success. Open Banking, Open Data, and Consumer Data Rights In this exclusive analytics podcast episode, Jacob shares: His experience working as a Blockchain developer What Consumer Data Right (CDR) is to banking His role as the Founder, CEO, and Developer of Fiskil Why Open Banking and Open Data are so important in today’s world and a future context What developments have caused consumers to look into the concept Open Data If Facebook and Google's monetization of data helped lead to the concept of Open Data The challenges that come with this area Maintaining the data from the bank with constant technological changes and adaptations How this affects the building of technology and infrastructure How API infrastructures overcome the problems of enterprise systems Sourcing data from other areas to create a clearer picture How Fiskil's open source and open data philosophy appears in their company The concept of sandboxes How innovators are using open banking data for innovation and his favourite use case so far His advice for developers who want to dive into the realm of Open Data If you are a developer or innovator looking to dive into the realm of Open Data, this is the episode you do not want to miss out on.
March 20, 2022
E95 - Jonathon Love - A Free & Open Statistical Spreadsheet for the Masses
Sharing is caring. That’s a line you usually hear when you’re a child - probably to share your new toys or maybe even give your parents a bite of your breakfast. You likely don’t hear it as much as an adult unless it’s coming out of your own mouth. But you do still share, don’t you? Do you share your knowledge and findings and analyses? Meet Jonathon Love Jonathon’s Role as an Software Leader at jamovi Jonathon Love is the Co-founder of jamovi. The jamovi project was founded to develop a free and open statistical platform that is intuitive to use and provides the latest developments in statistical methodology. Community-driven scientific software is at the core of the jamovi philosophy, where anyone can develop and publish analyses and make them available to a wide audience. jamovi aims to be a neutral platform, taking no position with respect to competing statistical philosophies. The project was not founded to promote a particular statistical ideology, instead wanting to serve as a safe space where different statistical approaches may be published side-by-side and still consider themselves first-rate members of the jamovi community. Jonathon’s Other Work in Software Development Besides his work with jamovi, Jonathon is currently a Software Developer and Researcher at the University of Newcastle. He completed his studies with Andrew Heathcote at the University Newcastle, Australia, and has over 15 years experience in software development. Jonathon's interests are promoting the use of liberated (free and open source) software in science, and developing software which bridges the gap between methodologists and applied researchers. He was the original designer and developer of JASP. Community, Open-Source, and Software Development In this exclusive analytics podcast episode, Jonathon shares: What jamovi is and what it represents Features that jamovi has A demonstration of how to use jamovi and how it works Resources he recommends to use jamovi to your best advantage jamovi’s success among power users in a competitive field Combining modules to solve specific problems Evan Shellshear’s use case for using jamovi If you are a power user searching for a scientific open-source software with a strong community surrounding it, this is the episode you do not want to miss out on.
March 13, 2022
E94 - Matt Holme - Overcoming Debt With A New Type of Payment at the Checkout
Have you ever been stuck needing or wanting to buy something, but didn’t have the money for it at the time? Whatever the reason, the Buy Now, Pay Later option seemed very tempting… So, you click on it. You get your item. Now, without really realising it, you’ve put yourself in debt, no matter how small the purchase may have been. And you’ll have to pay it off eventually. Will you have the money then? What if there were another option? What if someone else could make that purchase for you? Meet Matt Holme Matt’s Role as a Business Leader at YouPay Matt Holme is the Founder and CEO of YouPay. Started in 2020, YouPay is the only payment platform in the world that offers an easy way for someone else to pay. YouPay is tackling the issue of abandoned eCommerce shopping carts and is seen as the next payment opportunity to transform online shopping conversions. YouPay provides a sustainable alternative payment solution for children and adults to live within their means. Matt’s Other Work as an Serial Entrepreneur Besides his current work with YouPay, Matt Holme is the Founder and CEO of MyWork. Matt started MyWork from his home office in 2009, and, since then, has expanded to a team of talented designers, developers, project managers, digital marketing specialists and sales consultants who have helped over 7000 small business owners across Australia succeed online. MyWork is a complete digital solution provider offering web design, mobile design, development, branding, digital marketing and email hosting. Prior to that, Matt was the Co-CEO of Operation Sports, the internet's largest sports video game network, attracting upwards of 1.2M unique visitors per month. He was also the Founder of Soccer Gaming, a fansite for FIFA 98 that grew into a network of soccer video games websites and the building block to the rest of his entrepreneurial career. Matt worked as a Producer at EA Canada, being part of the production team behind leading sports titles such as FIFA 05, 06, 07, 08 and 09, UEFA Champions League 07/08 and UEFA Euro 2008. Debt-Based Payment, Data Science, and New Payment Options In this exclusive analytics podcast episode, Matt shares: What it meant to win The 2016 Brisbane Young Entrepreneur Marketing, PR & Events Award Who he has to thank for his journey and his view on long-term partnerships His role as the Founder and CEO of YouPay The origin story of YouPay and its connection to Covid-19 Whether consumers fully understand Buy Now, Pay Later products and other debt-based payment options How One Click checkouts come into the picture How data comes into play for implementing these new types of payment options Connecting all the players in implementing new types of payment options Working with and around data privacy for these types of payments How payment FinTech can provide value-added services to merchants How data science contributes to these value-added services His most important first principle If you are a data professional in the payment FinTech industry interested in developing or implementing new payment methods, this is the episode you do not want to miss out on.
March 06, 2022
E93 - Christophe Zoghbi - Spreading Accessible AI Education Across the MENA Region
Can you blame someone for not knowing something that you deem important? When it comes down to it, is the individual truly at fault or is there something bigger to blame? As the hype continuously increases surrounding Artificial Intelligence, we all know that it will play a huge role in the future. It already is! But, as with everything new, some people are bound to get left behind… Is AI education accessible? Meet Christophe Zoghbi Christophe’s Role as an Artificial Intelligence Leader at Zaka Christophe Zoghbi is the Founder and CEO of Zaka. Zaka is on a journey to democratise Artificial Intelligence in both the MENA region and globally through sharing knowledge, building solutions, and connecting people. They are a remote, community-driven AI company designed to be an inclusive guide for organisations and individuals into Artificial Intelligence. They aim to nurture a diverse AI community by encouraging everyone to give back locally. Christophe’s Other Work in the Artificial Intelligence World Besides his work with Zaka, Christophe is also the Founder and President of Beirut AI, a Lebanese non-profit organisation working since 2017 on enabling everyone to have access to the tools and knowledge to apply Artificial Intelligence. Here, Christophe and his team have helped their community explore the impacts of AI, find jobs, engage with others, and develop projects, and they continue to do so by hosting various events, including their AI Bootcamp, AI Weekend, hackathons, and university workshops. Meanwhile, Christophe is a contributor to The AI Journal, writing on AI and AI education. He is also a Visiting Lecturer at the Holy Spirit University of Kaslik, responsible for designing and teaching an "Introduction to Data Science & Artificial Intelligence" course within the MBA Financial Engineering Program. AI education, AI communities, and the MENA region In this exclusive analytics podcast episode, Christophe shares: His volunteering experience at CITY.AI and what they're trying to achieve with AI education What's different about CITY.AI's AI education events compared to other AI events His role as the Founder and CEO of Zaka and how it was founded What he hopes to achieve for the AI community in MENA region through Zaka The challenges the MENA region faces in spreading AI education The key drivers in countries further ahead in their AI journey How written and spoken language in the MENA region affects their AI education How to make AI education more accessible in the MENA region The unique parts of the AI community in the MENA region Whether there is a future of collaboration in AI between the MENA region and other parts of the world His issue with AI education in universities and how the educational system in the MENA region compares to other regions The best place to start exploring MENA region's Ai offerings If you are an AI educator or a decision-maker looking to improve the AI education in your region or in your company, this is the episode you do not want to miss out on.
February 27, 2022
E92 - Jamie Leach - Opening the Door to Innovation and Fairer Finances with Open Banking
When was the last time you switched banks? Yeah…and how did that go…? Imagine being able to skip all those steps needed to switch your bank. I bet it took a frustrating amount of time to switch. So many forms to fill, so many people to talk to, so many places to go or appointments to make or lines to stand in. Now, you can skip all those steps! Your new bank can get all the information they need from your old bank and set it all up for you. But this is only one of the many perks of Open Banking. Meet Jamie Leach Jamie’s Role as a Data Science Leader at FDATA Jamie K Leach is the Chapter Lead ANZ of FDATA. FDATA is a not-for-profit global association for financial services companies operating in Open Banking and Open Finance. They work with government, regulatory authorities, and financial industry stakeholders in their mission to open up Australia’s and New Zealand's financial sector and the greater Consumer Data Right to the benefits of financial data and technology. Their members provide innovative financial applications and services to empower customers to make better decisions and take fuller control of their financial lives. Jamie’s Other Work in the Data Science Industry Jamie’s corporate background is diverse; ranging from strategy and project management, general management, corporate and investment banking, defence, spatial, and economics, as well as leading development and data/technology companies through capital-raising and global expansion. She is incredibly passionate about the transformative potential of data. She believes that access to quality data at all levels enables more transparent thought-processes and better decision-making through data-driven decisions. Other than her role at FDATA, Jamie is currently a Board Chair at GridQube, an External Consultant with Tony Blair Institute for Global Change, a Digital Identity, eKYC and Financial Inclusion at The World Bank and at the United Nations Capital Development Fund, and the Founder of Open Data Australia. Opening Banking, Open Data, and Innovation In this exclusive analytics podcast episode, Jamie shares: The effects of Covid-19 on the world of Open Data and Data Sharing across the globe Where each country is currently at with Big Data What exactly is the concept of Open Banking and Open Data What led to the concept of Open Banking in different regions How Open Banking creates a more fair and ethical landscape for financial services Improving financial literacy with Open Banking How Open Banking is paving the way for startups and innovation The benefits of Open Banking on banks themselves What the concept of Open Banking means for data analytics professionals Whether Open Banking has been successfully implemented in any country Advice for startups and innovators who want to adopt Open Banking or Open Data If you are an executive working in the financial sector or a data analytics professional looking to implement open banking or open data, this is the episode you do not want to miss out on.
February 20, 2022
E91 - Dr Michael Kollo - Explainable AI’s Place in Investment Fund Management and Superannuation
If someone told you something like; “If you leave your house tomorrow, something bad will happen.” What would you do? You’d probably either be horribly confused, slightly offended, or maybe you’d even laugh, thinking it was all some big joke. Either way, you’re left with no explanation. So, obviously, you ignore the encounter. Whether or not something bad happens the next day is a whole other story. Without understanding how this stranger arrived at this conclusion, you have no reason to believe them. Then, how easily do you believe a machine learning model without knowing how it came to the results that it did? Or do you need an explanation? Meet Michael Kollo Michael’s Role as a Data Science Leader at Qurious Analytics Dr. Michael G. Kollo is the Founder of Qurious Analytics. Qurious Analytics aims to breach the gaps formed from the lack of technical expertise and effective communication skills through research, education and mentoring for both technical and non-technical audiences. Michael is a seasoned executive and quant from the asset management industry. He has led research teams at Blackrock, Fidelity, Renaissance Asset Management, and more recently in Axa Investment Managers and Hesta, a 60bn asset owner in Australia. As well as leading quantitative research and investment teams in London, San Francisco and now Sydney, he recently joined an AI technology startup as Chief Economist, dealing with the impact of automation technologies on the global workforce and industries. Michael is known in the industry as an AI and quantitative expert, both in the fields of asset management and technology startups. He frequently speaks at conferences, both locally and globally on topics of intelligent systems, forecasting in financial markets, ethical AI, reasoning systems and explainability, and impact of automation in global workforces and economies. Michael’s Other Work in the AI Industry Michael obtained his PhD from the London School of Economics, Imperial College and at the University of New South Wales. He was the Chief Examiner for the external finance programme of the London School of Economics, and the Adjunct Professor at Imperial College where he taught Quantitative Finance in the Masters stream. He has also mentored Fintech and CyberTech startups in London through the Barclays Accelerator programme. On top of that, Michael is a published author in both academic and private sectors, with thought leadership pieces, white papers, and the opening chapter in the best selling "Big data and machine learning in quantitative investment.” Michael writes regularly for industry publications on the topic of AI and alternative data. He is also a regular speaker at global quantitative research and institutional industry events. Explainable AI, AI adoption, and Quant In this exclusive analytics podcast episode, Michael shares: How human trust is under threat with rise of AI Research topics that have stuck with Mike and how quickly the world changes with AI His background and work in AI in the Quant field How AI adoption is progressing in the background, especially in investment fund management and superannuation Main reasons for the lack of adoption of AI in these industries How explainable AI plays a part in these industries A case study of when explainable AI was critical to success in these industries What area he would focus on if he was starting his career today What he would tell his 20-year-old self if he could If you are in the executive management team in the financial industry trying to understand how to improve AI adoption in your organization, this is the episode you do not want to miss out on.
February 13, 2022
E90 - Simon O'Toole - From Telescope to Data Centre - Adventures in Astronomical Data Pipelines
There is no industry in the world that doesn’t take advantage of data and analytics. However, if asked, off the top of your head, you’d probably say; “Retail uses data!” “Healthcare must use data!” And so on. But have you ever looked up into the night sky, gloried at the far-off stars and wondered… What about the data in the stars? It’s easy to forget about what’s right under our noses - or above our noses in this case. Now that you’ve been reminded, your mind is abuzz with questions! So, how do astronomers use data to research the universe beyond what we can and can’t see from our kitchen window? Meet Simon O’Toole Simon’s Role as a Data Science Leader at Australian Astronomical Optics Simon O’Toole is the Head of Data & IT at Australian Astronomical Optics - Macquarie. The Australian Astronomical Observatory (AAO) provides world-class optical and infrared observing facilities that enable Australian astronomers to carry out excellent science. AAO is a world leader in astronomical research and in the development of innovative telescope instrumentation. Macquarie University partners with the AAO Department within the Faculty of Science and Engineering. Simon’s Other Work in the Data Industry ​ Previously, at AAO, Simon has also taken on the roles of Senior Specialist Research Systems Engineer, Web, eResearch & Information Administrator, Project Scientist for Data Central, Deputy Gemini Scientist, and a Research Fellow. Here, he has contributed a variety of work, including carrying out media interviews, researching planets, conducting school presentations, driving technical innovation, and developing systems. In addition to his work at AAO, Simon has over 200 published research papers, with many having a focus on astronomy. Some of his earliest written work includes research on old hot stars using data from space telescopes such as the Hubble Space Telescope and the Far Ultraviolet Spectroscopic Explorer, while his most recent at the time of writing is on the detectability of eclipsing binary star companions from eclipse timing variations. Data Science, Astronomy Data, and Telescopes In this exclusive analytics podcast episode, Simon shares: His role as the Head of Data & IT at Australian Astronomical Optics Data Central as an eResearch platform How Astronomy Data is classic Big Data The two branches of Astrophysics Use cases of the merger of black holes/neutron stars and supernova explosions Why data processing is important in these cases Types of Astronomical Data formats How data acquisition works in Astronomy Data The challenges faced in Astronomy Data work and how they are overcome Future challenges that will be faced in the industry If you are already a data scientist or an aspiring one interested in the astronomy industry and the challenges they face, this is the episode you do not want to miss out on.
February 06, 2022
E89 - Jason Tan - Product Analytics Tool Showdown: Mixpanel vs. Amplitude vs. Posthog
How do you know if that one feature of your product that you spend ages tending to everyday…is actually being used? And how do you know if that one feature of your product that you’ve set aside for the time being…isn’t actually being used? Maybe, this whole time, you’ve been focusing on the wrong areas because you’ve been basing everything off of assumptions or the hastily put together survey you send out to your users once a year. The solution? Product analytics tools. In This Special Episode This week, I’m bringing you the first solo episode of 2022 from The Analytics Show Podcast. The rise of web-based technologies has changed how applications and software products are being built. The development within these products often requires analytics to be included as well so that we can track how people are using our product at any given time. In this episode, I will not only be sharing how to integrate product analytics tools into your software product, but also how to choose the perfect tool out of the hundreds out there to suit you and your needs. Why Use Product Analytics Tools? Well, these tools can help you: Track your users’ digital footprint step-by-step to see what they like and what leads them to engage, return, or churn Combine all data sources into one single organized view Find out what functions your users use most often Find out which modules get used least frequently and may require improvement Mixpanel, Amplitude, or Posthog? In this exclusive analytics podcast episode, I share: How to choose the right product analytics tool to suit you and your needs What Mixpanel, Amplitude, and Posthog have in common with each other The differences between the three tools and which one is the best for you If you have recently introduced a new feature in your application or software product and want to use analytics to track the product usages, this is the episode you shouldn’t miss.
January 30, 2022
E88 - Neil Glentworth - Data for Social and Community Benefits
How governments are faring with the use of data analytics and emerging technologies compared to business organisations? How much potential is there in the use of data to bring out social and economic benefits for the communities and businesses? What should the local governments and businesses do to make the most out of technology? Meet Neil Glentworth Neil’s Role as a Data and Information Leader Neil Glentworth leads ASX listed, private, and public sector organisations with his deep understanding of digital, data, and emerging technologies across multiple sectors including natural resources and mining, defence, technology, human services, telecommunications, public safety, cyber, risk and threat management, and emergency management Neil is the Group Chairman of nationally-recognised data and information advisory firm GWI, which he built from his kitchen table into the respected national professional services company it is now. Today, GWI is a team of independent advisors to government, business, and communities. They solve their clients’ most perplexing problems, unlocking the potential of information and data to create business value and grow the business. Neil’s Other Experiences in Data and Technology Neil is also the Executive Chair of Redman Solutions that provides a suite of consulting and technology offerings that focus on process redesign, unlocking potential in existing technology and introducing complementary technology for local governments in AUS and NZ. As an industry thought leader, Neil also presents as a keynote speaker in numerous industry events as a data advisor and smart communities’ specialist Data Analytics, Society, and Smart Cities In this exclusive analytics podcast episode, Neil shares: His favorite business venture of his multiple successful ones so far Advice to immigrants seeking to start their own business in Australia His role as the Group Chairman of GWI His drive in focusing on social, community, and public sectors The major areas of impact that data analytics plays within society and communities How public sectors should utilise data analytics to directly impact our society What smart cities really mean and if they are delivering as promised Why telling an honest story with data is important Advice for the local government and private sectors around the world who want to build smart cities
January 23, 2022
E87 - Dr Carol Hargreaves - Building Practical Innovative Solutions through Data Science
Imagine this. You have a garden, and you’ve spent years growing apple trees. You harvest the beautiful juicy red fruits every season. And then, you leave them. You don’t eat them. You have so many of them. You don’t know what to do with them. You’re not even sure if you like apples, and no one else wants them either. They rot away in your basket every time, but, for some reason, you keep harvesting and keep growing. Sounds like a waste of time right? You would never do something like that! Then, why would you do the same with your data? Meet Carol Hargreaves Carol Hargreaves is the Director of the Data Analytics Consulting Centre and an Associate Professor in the Department of Statistics and Data Science at the National University of Singapore. Here, Carol and her team help clients to generate economic, social, and scientific value from data using cutting-edge techniques and advanced data analytics strategies. They also provide hands-on workshops - both public and customized - to help clients keep up to date with new data analytics techniques. Carol’s Previous Experiences in Data Analytics An Analytics and Business Intelligence Professional, Carol has over 30 years of experience in lead roles in multiple industries, including Pharmaceuticals, Healthcare, Fast Moving Consumer Goods, and Education. Carol has also presented at multiple conferences and workshops on data analytics topics. NUS Data Analytics Consulting Centre (DACC) 2021 Singapore - HR Attrition Workshop NUS Data Analytics Consulting Centre (DACC) 2020 Singapore - Data Analytics for Customer Insights Enigma Analytics Leaders Summit 2017 Malaysia - Data Cleaning & Preparation Workshop Enigma Analytics Leaders Summit 2016 Indonesia - Credit Risk Modelling Workshop Prior to her current role at the National University of Singapore, Carol founded her own company with a focus on helping clients understand their business challenges and problems in order to identify the relevant data that will help solve their business problems. Over the years, she has also been the Chief of Business Analytics at the National University of Singapore, the Quantitative Methods Manager at IMS Health, a Statistical Modelling Analyst at FOXTEL, and more. Research and development In this exclusive analytics podcast episode, Carol shares: Carol's 6 steps to building a power customer analytics system Research topics from the financial and healthcare industries that have stuck with her Her role as the Director of the Data Analytics Consulting Centre and an Associate Professor in the Department of Statistics and Data Science at the National University of Singapore Topics that she often speaks on in workshops If you are a senior executive in private sectors outside of the USA and interested in learning more on how to incorporate data science into your company, this is the episode you do not want to miss out on.
January 16, 2022
E86 - Aleksandar Linc-Djordjevic - Changing The Underappreciated Data Science Scene of Europe
How often do you find that your hard work goes unappreciated? Others are doing what you do - maybe less - and getting all of the love and attention. It can be exhausting and demotivating, no matter how often you tell yourself that it doesn’t matter. Europe is facing the exact same problem in the technology and data science industry. They are often overshadowed by countries like the United States and China, being heavily ignored despite their achievements. Aleksandar is here to change that. Meet Aleksandar Linc-Djordjevic Aleksandar’s Role as a Leader at the Data Science Conference Aleksandar Linc-Djordjevic is the Managing Director at the Data Science Conference. DSC is one of the world’s biggest franchises dedicated to Data Science & AI, with one of the fastest growing communities in Europe. In 2021 alone, DSC held 3 conferences across the world - the 1st live conference dedicated to Healthcare Analytics since the start of the pandemic in the United States, their 2nd conference in Austria, and their latest event in Europe. Spanning multiple days, each conference brought in 30-80 high-quality tutorials and talks, and was attended by 300-10,000 fellow data enthusiasts. Aleksandar’s Previous Experiences in Training and Data Analytics Aleksandar is a certified Trainer with more than 500 hours of training delivery experience. His fields of expertise include organizational development, communication, project management, strategic and action planning, and fundraising. Notably, Aleksandar took on the role as a Trainer at the Ministry of Youth and Sport, and as a Trainer @JobFair15 LevelUp workshop. Currently, he is part of KOMS pool of trainers. He is also an Entrepreneurial Data Scientist with a demonstrated history of working in the non-profit organization management industry. Aleksandar has numerous experiences working in leadership and data related roles, including as the President of the Board at the Institute of Contemporary Sciences, a Data Analyst at NCR Corporation and CUBE Risk Management Solutions, and a Board Member of the National Youth Council of Serbia. The data science and AI scene in Europe In this exclusive analytics podcast episode, Aleksandar shares: Data Science Conference's involvement in Serbia’s National Youth Strategy Transferable skills Aleksandar has discovered in managing his company How the data science and AI scene in Europe truly looks A comparison of data science as an industry between Europe and other parts of the world - such as the USA, Asia, Australia, and China What can be done for the world to learn more about data science development in Europe Building a community and collaboration across the world If you are a policymaker working in government agencies outside of the USA and interested in learning more on how to incorporate important technology into the national plan for your country, this is the episode you do not want to miss out on.
December 19, 2021
E85 - Benn Stancil - From Building a Tool to Building a Software Company
Meet Benn Stancil It's no secret that running a startup is not for the faint of heart. From fundraising, managing teams, collecting data, and more, it's all part of the painful but electrifying process. Anyone who has done it before will tell you about the fine line they had to walk between success and failure. We read it on the news all the time, but today, I will take you behind the scenes and have Benn share with you some exclusive, insider stories. Even better, his startup develops data analytics software, the very bread and butter of what we do day in and day out at our own organisations, but with an extra touch of sweet jam as Benn focuses on collaborative analytics. Benn’s Role as a Data Analytics Leader at Mode Benn Stancil is the Chief Analytics Officer and Co-Founder of Mode. Mode was established in 2013 when Benn and his co-founders recognized the need for a collaborative analytics platform for those who worked on the frontier of data analysis. Mode streamlines analyst workflows with a self-serve experience for business users, making it easy to share actionable data insights and stories across entire organizations. At Mode, Benn not only runs the data team, but played an integral role in the company’s building process, including fundraising and managing the executive team, all while using analytics at every possible step of the way. Benn’s Other Experiences in Data Analytics Prior to Mode, Benn was an analyst at Microsoft and Yammer, where he helped lead product analytics. Currently, Benn is investing a lot of his time in writing about the data industry and where it’s headed on his Substack. So far, he has written articles on social media sites like Instagram, Twitter, and Clubhouse, startup wealth tax, self-serve, modern data stacks, and more. Building a software company In this exclusive analytics podcast episode, Benn shares: The power of writing and why everyone should start doing it His tips for writing His corporate career at Yammer and Microsoft The internal tool he built at Yammer How it serves his business stakeholders How and why Benn and his colleagues started their software company Stories, challenges, and tips from his journey building up the company If you’re a data scientist or data engineer with an interest in what it would take to build a company out of your products and solutions, this is the episode you do not want to miss out on.
December 12, 2021
E84 - Malcolm Shroff - Data Governance and its Role During and After Your New ERP System
Alignment and focus across the board are key in achieving a company’s goals as quickly as possible by working smarter not harder. But how does the finance team work with other departments to ensure everyone is focused on a common goal? Malcolm has the answer to creating a more cooperative environment to reach that end of the rainbow. Meet Malcolm Shroff Malcolm’s Role as a Financial Leader at Essence Group Malcolm Shroff is the Chief Financial Officer of Essence Group Sydney, established in 2004, and an industry recognised and accredited food contract manufacturer that formulates ideas and concepts developed with strong industry knowledge into finished FMCG. Essence Group is a leader in nutritional innovation. Malcolm’s Past Experiences in Finance Malcolm is an experienced Finance, Governance, Risk & Compliance Professional with cross-continental experience in well-reputed multinational publicly listed corporations; spanning the automobile and office products / supply chain industry. Before Essence Group, Malcolm was the youngest CFO in the Tata Motors Group’s history, successfully setting up and achieving operational profitability of an overseas subsidiary with positive EBIT within the first 6 months of company incorporation. In addition, he implemented the corporate restructuring of Tata Motors’ passenger vehicle dealership. He was titled Merit Holder in the Final Professional Level Company Secretaryship Examinations conducted by The Institute of Company Secretaries of India, leading to the award of the ‘Company Secretary’ professional qualification. Data analytics, data governance, and ERP systems In this exclusive analytics podcast episode, Malcolm shares: His recent nomination as a Governance Top 100 Finalist His advice for excelling in governance and data governance What Essence Group does as a contract manufacturer His role as the CFO of a mid-sized enterprise in Australia The success he found through the use of data analytics in his role The role of governance and data governance when selecting and implementing a new ERP system His thought process in selecting and implementing a new ERP system What to do with the data coming out of new and old ERP systems Data mapping correctly throughout different departments in the organization How reporting and data analytics can continue to function when switching ERP systems If you have a C-suite role and you’re working for a mid-sized enterprise, soon to face the decision of implementing a new ERP system, this is the episode you do not want to miss out on.
December 05, 2021
E83 - Steven Tye - The Data in Your Water - Smart Water Metering
What is Smart Water Metering and what does it mean for sustainability across Australia? Is this the future of water conservation? Enter into the movement of smart cities and have a look into a brighter future - one step at a time - with Steven Tye. Meet Steven Tye Steven’s Role as a Smart Water Utilities Leader at Tyeware Steven Tye has been the Owner, Director, and Solutions Consultant at Tyeware for the past 14 years and counting. He has been involved in smart metering projects since 2011 and has experience working with over 50 water utilities on smart metering pilots and rollouts. Tyeware is an internationally recognized digital water metering & IoT solutions provider leading Australia's IoT revolution in smarter water solutions for agriculture. Data Science in Smart Water Metering Solution They developed the MiWater and MyH2O systems for Mackay Regional Council and now partner with Taggles Systems for the Australian and international commercialisation of this software suite. MiWater processes, interprets and integrates data received from Automated Meter Infrastructure (AMI) to give utilities control and oversight over their water infrastructure, from the largest networks down to individual services. MiWater has assisted in identifying leaks totaling six billion litres of water, in turn, saving residents of the Mackay region hundreds of dollars every year. In addition, MiWater assisted in regulating water consumption among the town’s population, allowing the Mackay Regional Council to reach its goal of reducing annual water consumption by 10%. Customer Experience and Telemex More recently, Tyeware has developed "Telemex", an industry-first integrated CRM, demand management and customer portal for water irrigation schemes. It includes the full management of water allocations, titles, transfers and changeovers, as well as meter management, scheme management and automated notifications. At the heart of Telemex is a customer portal used by water customers to lodge, manage and visualise the impact of water orders. Telemex builds on Tyeware's expertise and innovation across the Australian water industry to cultivate water sustainability through customer-centric solutions. Data Analytics and Smart Water In this exclusive analytics podcast episode, Steven shares: His entrepreneurial journey and experience in growing a software business What a smart water metering solution is and why it plays a vital role in solving climate change Real-life examples of how utilities, local governments, and agriculture businesses use the solution in their own businesses The type of data collected for these solutions How analytics is used to identify water leakages and plans for infrastructure development How he started his journey in developing smart water metering solutions The challenges and advice in applying data analytics with a digital water metering solution If you are in a C-suite position, working for a utility company or local council, and find yourself intrigued about how data science can assist you with infrastructure planning and engaging with your customers, this is the episode you do not want to miss out on.
November 28, 2021
E82 - Sigal Pilli - Uniting Finance & All Sides of Business with Data Analytics
If communication is key to running a successful business, then why do the different departments in a business fail to communicate? How many people go about their work day without knowing a single thing about what their co-workers are doing? If communication really is key, then what can miscommunication do to a business? Meet Sigal Pilli Sigal’s Role as a Finance Leader at Seer Medical Sigal Pilli is the Chief Financial Officer of Seer Medical, a creator of technology that revolutionises the diagnosis and management of neurological conditions. Their technology consists of wearable devices, a cloud platform and machine learning systems. These systems are at the core of their at-home video EEG monitoring and diagnostic service - the first of its kind. At Envato, Sigal took part in structuring the financial department to integrate with other departments, merging data, finance and the diversity of views from around the table to ensure decisions are made well. As the CFO, Sigal’s role was to shine a light on points not considered by marketing and product. Sigal’s Past Experiences in Finance Sigal is also a Non-Executive Director at RateMyAgent Australia (ASX:RMY), Australia’s No. 1 real estate agent ratings and statistics website. Previously, Sigal held CFO and COO positions at industry-leading organizations like John Deere, Envato, Assembly Payments, and New Aim. Sigal has decades of experience working in senior leadership roles in digital (e-commerce and SaaS), fintech, manufacturing, and engineering. Her expertise also includes acquisitions, integration, change management, and digital transformation. Over the years, she has built many large and complex financial and operational projects from scratch, including an effective, commercial and service-oriented finance function involving 40 professionals at Envato. Uniting Finance and All Sides of the Business with Data and Analytics In this exclusive analytics podcast episode, Sigal shares: About her volunteering experience and why she chose those organisations to volunteer for. How to avoid biases in hiring and managing female employees, especially for the STEM and tech industries. Her thoughts and experience in using data analytics in the areas of her work. Why making the most impact on an organisation with analytics is to focus on the revenue. Why finance is best suited for this work and how the overall organisation, including pricing, products and marketing department, can work with their finance team to make a sound decision that is forward-looking with a long term view. How to organise the financial department to work well with other departments in the organisation. If you’re a CFO, and always intrigued about how you can move beyond financial control but modernise your department to play a bigger role in your organisation with your finance expertise, listening to Sigal and how she plays her roles in scaling and growing the company is highly recommended. Join our Dogecoin Giveaway! Start your cryptocurrency journey without the risk of losing money, without the anxiety over figuring out how to start, and without the hassle over choosing from the plethora of cryptocurrencies out there. Join our giveaway now to stand a chance to win 1,000 Dogecoin, free!
November 21, 2021
E81 - Max Métral - How Data Drives Racing - The Data Science Behind the Sports Industry
With over half a billion fans following its events worldwide, Formula 1 is the greatest racing spectacle in the world. But very few of us know about Formula 1 as a corporate entity. What makes F1 such a highly successful organisation with raving fans? Max Métral, the Senior Analytics Manager at Formula 1®, is here to give us an insider view into the inner workings of data and analytics in the corporate sports entertainment media landscape. At F1, Max is currently involved in leading the business analytics department, which works to maximize commercial opportunities of both B2B and B2C ventures of F1 by optimising decision making using data analytics. Max uses data to deepen the customers/consumers/fans knowledge and make better data-informed decisions. Before becoming the Senior Analytics Manager, Max was the Insight Manager. As the Insights Manager, he developed the organisation’s first-ever fan data analytics strategy. He also built up the F1 data team from scratch. Max also enjoys teaching and sharing his real-life experience as a visiting lecturer at various universities across London, Paris, and Brussels. Previously, Max has worked as a data and insights analyst at City Football Group, Accenture Uk, and Adidas. Academically, Max studied at the University of North Carolina at Chapel Hill - Kenan-Flagler Business School and has a Master of Science in Management (MSc) degree from ESSEC Business School in France. He frequently speaks at reputed industry events involving data analytics, sports business analytics, and sports marketing. In this exclusive episode, Max shares how data and analytics are used in the landscape of sports media and sports analytics. The interview kicks off with Max sharing his passion and experience in teaching and writing, when he is not working. Not only does he find joy from these activities, but equally, he uses the opportunity to sharpen his knowledge too. Max provides a lot of business context for Formula 1 and how it’s evolving from B2B to B2C and the DTC model. How data analytics are becoming ever more critical in their B2B business because broadcasters and promoters are asking more questions than ever before to justify the ROI. How Max and his team had to create the fans database from scratch when he first started the job at Formula One. How, eventually, the fans database has allowed Formula One to start building its B2C business. Why data analytics is becoming more critical for Above the Line Marketing. Why we can’t blindly trust the data and spend all our marketing budget for Below the Line Marketing. How to build a customer database with a global perspective and some of the challenges it would come with. How to create a new B2C market if you’re traditionally a B2B business and why data plays such an important role to make both of them complement each other. If you are Chief Marketing Officer in a large corporation or work in the media industry, listening to this episode is highly recommended. This episode is sponsored by the new program at DDA. It’s an analytics leader mentorship program for senior managers and executives in the business team who want to develop a data-driven business to drive customer experience excellence. For a small one-off annual fee, you get to book Unlimited Strategy Sessions for a Full Year. For more information about this program, please reach out to DDA! BusinessAnalytics, CustomerExperience, DataScience
November 14, 2021
E80 - Albert Ishak - Harmonising the Legacy Systems in Aviation Industry through Finance Automation
Aviation is an industry that naturally has a significant existence of legacy systems within financial and IT operations. How to harmonise these systems and what are the benefits of the harmonisation? Above all, how can you synchronize the legacy systems existing in your industry and organisation? To discuss all this and much more, we have Albert Ishak, the CFO of Airbus, Indonesia, for this exclusive episode on The Analytics Show. Airbus is a global pioneer in the aerospace industry, operating in the commercial aircraft, helicopters, defence, and space sectors. The company designs, manufactures, and delivers aerospace products, services, and solutions to customers worldwide. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Albert specialises in analysis, forecasting, financial modelling, statistics, data science, credit analysis, and research. He is a CFO with experience in Aviation, Aerospace, Defence, Agriculture, Hospitality, and Gaming industries. Before joining Airbus, Albert was a pivotal force in establishing Neorizon, a joint venture between Airbus and LM Industries. Neorizon develops physical products as fast and as flexible as software. The company specialises in rapid product innovation and development. He was the first CFO and Co-Managing Director there. Academically, Albert graduated from IE Business School’s International MBA in 2017. He also received another MBA in Behavioral Sciences of Management from Yale School of Management. In this episode, the exciting discussion takes form through the following routes: Albert shares about his academic background and what advice he would give to young data scientists who are interested in progressing their careers to be a CFO. His experience in starting Neorizon, and how that experience cemented his professional career at Airbus. The use of data and analytics at Airbus and a few examples of how data science and emerging technologies are used at Airbus around the world. Some of the use cases are -- Airbus Skyways and Digital Twin technology, Route optimisation for commercial aircraft, and predictive maintenance to prolong the asset lifetime value. The use of data analytics in Albert’s main area of expertise - finance. He shares their work in building the financial model to better understand the company cash flow, budgeting, and costing. Data analytics combined with finance automation not only allow him and his team to better predict the financial health of Airbus Indonesia, but it also allows them better manage finance when accessing the money market. Albert shares his views on harmonising the legacy systems as well as the long term vision that Airbus and Global CFO have for the future. If you are a CFO operating at a well-established company that comes with legacy systems, I would highly recommend you listen to this episode to find out how Albert is improving the financial health at Airbus Indonesia through finance automation and harmonising the legacy systems. This episode is sponsored by the new program at DDA. It’s an analytics leader mentorship program for senior managers and executives in the business team who want to develop a data-driven business to drive customer experience excellence. For a small one-off annual fee, you get to book Unlimited Strategy Sessions for a Full Year. For more information about this program, please reach out to DDA! BusinessAnalytics, CustomerExperience, DataScience
November 07, 2021
E79 - Vishal Kapoor - How Real-World Data Analytics Empowers Precision Medicine
Vishal Kapoor is a senior analytics leader and data science professional with more than a decade of experience working in the data analytics industry. He has been recognised as the IAPA Top 25 Analytics Leader in Australia 2021. Currently, Vishal is working as the Head of Innovation at Prospection, a data analytics solutions provider for the healthcare industry. Prospection is a pioneer in healthcare data analytics. The company utilises predictive analytics and machine learning with real-world healthcare data to unearth insights that help research, develop and target better healthcare outcomes for patients. Vishal is also an Advisor at Skoutli, a service that scouts locations and vehicles for shoots for influencers, photographers and production companies. He was also a founding member of INGRITY, a progressive data analytics services providing company. Apart from that, Vishal had worked in various senior analytics, and leadership roles at organisations like Mu Sigma Inc, Infosys, and Bayesia. His work experience ranges with clients across the US, Singapore, India, and Australia, including Fortune 500 companies. Vishal utilises his expertise in maths, data science, technology, cognitive and behavioural sciences to develop a culture of design thinking and extreme experimentation in organisations. This approach to culture helps in the effective creation and consumption of analytics solutions in organisations. In this exclusive episode, Vishal shares about his role at Prospection and how he helps develop the team to become a master innovator. He also shares: His view on the importance of asking the right and good questions. How to build a culture that fosters innovation, which includes how to fail and learn fast. How Prospection is innovating in the healthcare industry. How they work with pharmaceutical companies and doctors in using real-world evidence and data to deliver insight into improving outcomes of different healthcare issues and treatments. By providing access to the patient insights, they allow the clients to provide the most effective treatment pathways. Vishal also shares a real use case on how they help to identify the overlooked demographic segments for medical intervention through the use of advanced data science techniques and the availability of aggregate patient-level data. If you are a professional from the healthcare industry, this is certainly the episode for you to peek into the mind that helps to build innovation using data science in the healthcare industry. On the other hand, if you are in management, you would also benefit from listening to how Vishal works to flourish innovation and how Prospection uses real-world evidence-based data to make a healthier world. This episode is sponsored by the new program at DDA. It’s an analytics leader mentorship program for senior managers and executives in the business team who want to develop a data-driven business to drive customer experience excellence. For a small one-off annual fee, you get to book Unlimited Strategy Sessions for a Full Year. For more information about this program, please reach out to DDA! #BusinessAnalytics #DataAnalytics #CustomerExperience #HealthcareAnalytics #DataScience
October 31, 2021
E78 - Stephen Fernando - Overcoming the Fear of Failure, Risk Management with Data Analytics
Meet Stephen Fernando Stephen’s Role as a Business Leader at Murray River Council Stephen P Fernando recently took on the role of the Director of Corporate Services at Murray River Council, a government administration or municipality covering 11,865 square kilometres located in the Southern Riverina bordering Victoria, Australia. It is a picturerous area that sees over 2 million room nights per year (pre-COVID) by tourists coming to enjoy the river, the great outdoors and the wineries. Stephen’s Past Experiences in Data Science Previously he was the CFO, at the Whitsunday Regional Council, in Queensland, at the start of the world-famous Great Barrier Reef. Before that he headed the business services function for Mackay Water & Waste, where he was instrumental in driving Australia's first fleet-wide installation of smart water meters, one of the earliest smart cities projects in the country. Stephen is also a freelance public speaker for 6 years, with international experience in the public sector, public sector business transformation & innovation, smart cities, data analytics, and asset management. He was also the Chief Financial Officer for the Whitsunday Regional Council and the Manager of Business Services for the Mackay Regional Council. Stephen has over 20 years of experience in senior managerial roles across 3 continents in business strategy, general and financial management, systems and processes, and marketing. Risk management, agile, and data analytics In this exclusive analytics podcast episode, Stephen shares: How Stephen started his career in local government agencies How he and his team got people to use less water while keeping council water rates affordable How data analytics are used to develop smart cities that are more liveable How to start and prepare for a data analytics journey through strategy, insights, and experimentation How a data analytics journey links back to strategic and capital decision making How entrepreneurship and professionalism come into play in data analytics His approach to when and how to adopt new technology and vendors The negative effects that intolerance of failure have on public institutions and risk management How public sector organisations can establish a better framework for experimentation Why the agile approach doesn’t always work What changes need to be made for government agencies to become more agile How to overcome the fear of investing in new technology His most important first principle If you a senior executive in private sectors and want to understand how the corporate services within the government agencies work with data and analytics, this is the episode you do not want to miss out on.
October 24, 2021
E77 - Geeta Pyne - Insider Secrets to Fast-Paced Agile Data Platform Development
Geeta Pyne is the Chief Enterprise Architect - Platform and Architecture at Intuit (NASDAQ:INTU). Intuit is a finance and accounting software development company serving millions of customers worldwide with popular financial products like TurboTax, QuickBooks, Credit Karma, and Mint. The company has 10,000 employees worldwide with $9.6billion in revenue in 2021 Geeta is currently leading Capability driven Architecture (aka City Map) and Design to drive Intuit’s Platform Velocity by delivering design patterns, composable services, and reusable solutions. Geeta is also a Board Member of SIM San Francisco Bay Area. The Society for Information Management (SIM) is the largest National technology leadership organization in the US providing Programs, Events, Employee Development, and Networking for members. Before Intuit, Geeta was the Vice President of Data at Zuora, where she drove data strategy, and architecture to build the foundation of data-driven decision making and execution to help the company scale to $1 Billion. With specialization in SaaS, data, analytics, hybrid cloud, digital transformation, cloud migrations, and enabling new business models, Geeta has been working in the world of data, technology, and engineering for almost two decades in verticals ranging from healthcare to supply chain to cloud and data management. Prior to Zuora, she worked in multiple senior leadership roles at high-tech companies, including Veritas Technologies, VMware, BMC Software, and Mount Sinai Health System Geeta also holds an IP in India’s first parallel computer PARAM and Image Processing system ISROVISION. This exclusive episode starts with Geeta sharing about the early days of her career at the Indian Space Research Organisation, and how she came to patent India’s first parallel computer and image processing system. How the lack of modern cloud computing meant it was essential for us to fully utilise what we had in the old days. The role of enterprise architecture, especially in the context of data science. The importance of thinking about the big picture and building reusable blocks so that they can be used across the company and multiple products. The role her team plays and how they create the enterprise architecture culture with a focus on reusable blocks that allows Intuit to continue building itself as a platform company. Geeta also shares many examples of AI, ML models and emerging technologies being used at Intuit to solve the problems for their customers. Whether you’re a technology or a non-technology company, as Geeta puts it, necessity is the mother of invention and all of us are going to need software to empower what we do in the business. If you’re a data scientist or business executive, tune in to listen to Geeta Pyne on this episode to understand how enterprise architecture and reusable blocks are equally essential in data science projects. If you have any questions for Geeta or myself, make sure you send us an email or a message on LinkedIn. This episode is sponsored by the new program at DDA. It’s an analytics leader mentorship program for senior managers and executives in the business team who want to develop a data-driven business to drive customer experience excellence. For a small one-off annual fee, you get to book Unlimited Strategy Sessions for a Full Year. For more information about this program, please reach out to DDA! #BusinessAnalytics #MachineLearning #NaturalLanguageProcessing #Agile #CustomerExperience #DataScience
October 17, 2021
E76 - Anastasia Leng - From the Frontier of Creative Analytics
Anastasia Leng is the founder and CEO of CreativeX, an AI-based creative analytics company. Creativex is doing some truly out-of-the-box data analytics to blend the creative aspects of marketing and data science together. By analyzing creativity at scale, the CreativeX technology aims to advance creative expression through the clarity of data. The company has been helping the world’s most loved and biggest Fortune 500 brands, including Unilever, Mondelez, Heineken, ABI, Google, and more. Anastasia is also the Co-Founder and CEO of, which was named one of TimeOut’s Best New Shopping Sites and one of Time Magazine's Top NY Startups in 2014. Before founding her own companies, Anastasia was Google’s New Business Development Manager for Europe, Middle East, and Africa (EMEA). She was responsible for leading new business development initiatives, new product incubation, and exploratory efforts. At Google, she has worked on nearly all ad tech and analytics products from Google, led entrepreneurship efforts, and fostered partnerships for Google Voice, Chrome Web Store, and Wallet. Anastasia was named #2 on 30 Under 30 Most Important Women in Tech by Business Insider in 2013. In this exclusive episode, the discussion starts with the topic of building a distributed team and remote working. Anastasia shares her learning from the experience of building up their second office, which is in New York. How building a remote team opens up the pool of talents that one can access. How Anastasia started CreativeX. And, it is quite a story! It started when they tried to solve an internal problem of finding out the best performing creative and why it performed so well. Armed with this deep understanding of the problems many marketers and eCommerce face, Anastasia pivoted to start developing CreativeX. She also shares in-depth details about creative analytics, which is bringing a data-driven and analytics approach into your digital creative assets. How creative analytics can act as a layer of quality control on your millions of creative assets, where knowledge is shared and consistency is across the board. Creative analytics also cross-checks with other data points of performance advertising such as CPC, CPM, and CTR. With creative analytics, you can take the guesswork out of your marketing assets and pass on those learnings to everyone. Whether you’re a digital marketing agency or working as an in house marketer and designer, this is the episode you must consider to improve your creative workflow. If you’re a Chief Marketing Officer (CMO) with a global or regional presence, where brand consistency across multiple jurisdictions is a priority, consider reaching out to Anastasia and CreativeX as they have a solution for your problems. #BusinessAnalytics #DataAnalytics #CreativeAnalytics #CustomerExperience #DataScience
October 10, 2021
E75 - Jason Tan - Automate and Optimise with a Competitor Pricing Engine
What would you do if someone told you that you had lost hundreds or thousands or millions of dollars in your business? What if someone told you that there’s a high chance you’re losing out right this minute…? That someone is the data-driven pricing strategy. Answer me this. Are you really selling your products or services at the best price you could be, or are you losing the money you could have had with every single sale? This week, we bring you another special episode from The Analytics Show Podcast, the third solo episode from your host, Jason Tan. This episode is all about Jason sharing his expertise and knowledge of embedding and automating data and analytics so that you can dynamically optimise your revenue by going beyond dashboards. Jason has been working on understanding how modern high-performing organisations and other data-driven companies from around the world are using data science to ensure they’re not losing out on potential profit. He has also been experimenting with new techniques and strategies in his own businesses and for his clients. Jason has worked on developing and streamlining the complete process of embedding and automating business analytics for your company. In this special episode, Jason will be sharing: What a data-driven pricing strategy looks like How to embed analytics directly into your business frontline Verified use cases from the insurance and e-commerce field The world-class revenue optimisation engine used by insurers and leading retailers A 5 modules implementation process and every single step on creating an end-to-end solution that you can take back and start implementing at your organisation Why this will boost your revenue without significant large sums of investment necessary If you don’t want to be one in thousands of the senior managers of large corporations underpricing and underselling, this is the episode you shouldn’t miss. #BusinessAnalytics #DataDrivenPricing #DynamicPricing
September 26, 2021
E74 - Nick Yang - Art of Data-Driven Marketing in Fintech
Nick Yang is the Head of Marketing at Jacaranda Finance. Jacaranda is a Brisbane-based personal finance company providing super fast lending services to Australians with a broad range of risk profiles. Nick and Jacaranda want to usher in a new era of financial inclusion by making micro-financing available to all Australians, including the 3 million people who are deemed ‘unbankable’ by traditional financial institutions. The company was founded in 2014 with a vision to offer everyday Aussies a fair go at personal finance. Within this short period of time, Jacaranda Finance has become an award-winning lender, fulfilling what it aimed to achieve. The company was named Champion of Financial Services at the 2019 Australian Small Business Champion Gala Dinner and Awards. Jacaranda facilitated easy and fast online micro-finance options for personal loans up to $10,000 and car loans for up to $35,000. The cash becomes available to your bank account within minutes of application. This quick and hassle-free loan processing is surely going to give more and more Australians a fair go at their financial well-being. Nick has around 10 years of experience as a business analyst, project manager, and digital marketing strategist with a special focus on the finance and the insurance industry. Before joining Jacaranda Finance, Nick worked as Search & Analytics Manager at Cover-More Group, a global travel insurance and travel assistance provider with over 50% of the market share, and as web project manager at Global Payments Inc., a Fortune 500 payments technology company. In this podcast episode, Nick Yang shares with us: His academic and career backgrounds and how he moved from the world of IT to digital marketing. Why does the new breed of marketing professionals require IT knowledge? He also shares some valuable suggestions for those who want to move from IT to marketing. What is Jacaranda Finance, what it does, and how it helps the consumers? How the company builds brand awareness and runs its marketing processes without a physical presence. Nick also explains his view of branding in today’s fast-paced digital environment. Why it is important to be mobile-first when today smartphones are a main driving force. Some ideas for optimizing the customer experience for enabling micro-conversions while the customers are on the web. Importance of data in customer segmentation and the use of data analytics. If you are a senior manager operating primarily in the digital economy or fintech, you will certainly appreciate listening to the key principles Nick uses to form his strategy for data-driven marketing. BusinessAnalytics, CustomerExperience, MarketingAnalytics, DataDrivenMarketing, DigitalMarketing, DataScience
September 19, 2021
E73 - Katja Hanewald - From the Frontier of Population Ageing Research
Katja Hanewald is a Senior Lecturer in the School of Risk and Actuarial Studies at UNSW Sydney, which has been ranked 1st in the world for Actuarial Science, Risk Management and Insurance research. She is also the Coordinator of the Actuarial Co-op Program at the university. Apart from that, Katja is the Director of Research of the Ageing Asia Research Hub, which is hosted by the ARC Centre of Excellence in Population Ageing Research (CEPAR). Katja’s major expertise and research interests are risk management for retirement financial products and insurance responses to population ageing. Her research papers and articles have been published in all leading international insurance and actuarial journals and major economics journals. Katja has been a research-driven academician for over a decade from the very beginning of her career. After obtaining her doctoral degree from the School of Business and Economics at Humboldt-Universität zu Berlin in November 2010, she worked as a postdoc researcher in the ARC Centre of Excellence in Population Ageing Research (CEPAR) at UNSW Sydney from 2011 to 2013. She moved back to Germany in 2013 to work for the German Federal Ministry of Finance from 2013 to 2015. In 2016, she returned to Sydney to re-join CEPAR and UNSW Sydney, and is now a Senior Lecturer in the School of Risk & Actuarial Studies. This episode starts with Katja sharing with us about her background in research and what led her to focus on economics, actuarial, insurance, and risk management. Following this, the discussion moves through the following areas: How the School of Risk and Actuarial Studies at UNSW is helping actuarial students to explore different career paths, such as traditional actuarial works as well as data science. Katja’s research work around retirement insurance product development. Deep dive into creating a new model for the insurers, combining the General Linear Model (GLM) and neural network. How the new model addresses some of the shortcomings of the GLM. How the model allows analytics professionals and actuaries to incorporate additional factors, linear and nonlinear relationships among variables, and emphasize expert opinion. How the insurers could benefit from this new model in multiple ways, including understanding the mortality modelling using individual-level data, solving risk classification problems for insurance claims, microsimulation health models, and long term care insurance pricing. If you are an actuary or data scientist working on building analytics models for your applications, not only will you find Katja’s proposals to be uniquely refreshing, but you will also learn new perspectives in combining different models to solve the problems you may have at hand. If you are a senior executive in the insurance or reinsurance industry, this could be useful in understanding and developing a new insurance product for the ever-changing consumer needs.
September 12, 2021
E72 - Jyoti Lahiri - How a Modern CFO Uses Data Analytics for Decision Making
“What’s happened?” my wife asks me as I walk in the door, home late from work another day. I'm too embarrassed and upset to say that I just lost the company a truckload of money. Instead, I force a smile, lie about heavy traffic, and go to bed early. I know it was my fault. I made the wrong decision - again - and the company was suffering because of it. I recall a time long ago when someone told me to pay more attention to data, saying that, one day, it would rule the world. I’d need it more than it needs me. Without it and a good CFO by my side, I’ll be making bad decisions every step of the way. And, damn, he was right. But how do they do it? Luckily, Jyoti Lahiri - a senior executive with international business experience spanning over 30 years, with leadership roles in many geographies - has an answer. Jyoti Lahiri has served in various industries, including a significant period in the tech sector and held senior leadership positions in multinational companies in the Asia Pacific, Caribbean & Latin America and the USA.  Currently, Jyoti is Sydney-based and is the Chief Financial Officer - Asia Pacific Region of Landis & Gyr (Landis + Gyr), a Zurich-listed MNC. He also serves as Director on the Board of the company's subsidiaries in Australia, New Zealand, China, India, Singapore and Hong Kong. Landis & Gyr is a world leader in advanced smart metering solutions for utilities and is listed on the Zurich stock exchange. For more than a century, Landis+Gyr has helped the world manage energy better. The meters and solutions from the company empower utilities and end-customers around the world to improve their energy efficiency, reduce their energy costs and contribute to sustainable use of resources. The company employs a headcount of 1,100 across the Asia Pacific region Before Landis & Gyr, Jyoti worked for Lucent Technologies for a decade, where his last role was Chief Financial Officer- South East Asia, based in Singapore. Jyoti is a Chartered Accountant and Cost & Management Accountant. He is also a Member of the Australian Institute of Company Directors and a Fellow of the Institute of Directors, India. This exclusive episode starts with Jyoti sharing his volunteering experience at Kushal India and how he got involved there. Then, the episode moves through the following topics: Jyoti shares about Landis & Gyr and the works that they do here. The smart meters and solutions from the company that empowers utility companies and customers. How the solutions improve energy efficiency, reduce cost, and contribute to sustainable use of resources. How this plays a role in building smart cities around the world. Jyoti’s view on capital allocation for the development of the digital infrastructure. Combining the historical data and new data in the business. Appropriate access control of data and how the heads of the different countries can learn from the collective knowledge and wisdom of each other. Role of an MNC CFO and how it is more demanding than before. What are the different roles that a CFO can play that are beyond the accounting works that they are traditionally involved in? If you are a senior executive operating in a single jurisdiction and want to know more about CFOs whose responsibility ranges across multiple countries and regions, this is the episode you shouldn’t miss.
September 05, 2021
E71 - Kshira Saagar - On Achieving Organisation-Wide Data Literacy
Kshira Saagar is the first Chief Data Officer (CDO) of Latitude Financial Services. Latitude is Australia’s biggest non-bank lender, digital payments, and finance company with over 2.7 million customers across Australia and New Zealand. At Latitude, Kshira is currently working on enabling the enterprise to make faster and smarter data-driven decisions. Kshira oversees all the data science processes and infrastructure from data collection and governance to algorithmic decision tools development. He is also working on developing self-service data analytics capabilities for the Latitude staff and other advanced and intelligent analytics products. Kshira is leading a large team of data scientists, analysts, architects, engineers, machine learning engineers, data warehouse developers, BI developers and data governance & risk remediation experts. Before Latitude, Kshira had performed in different senior and leadership data roles at Global Fashion Group, Equifax, Fairfax Media, and Mu Sigma Inc. He has over a decade of experience in data science solution development and analytics problem-solving for retail, telecom and insurance markets, including fortune 100 clients. He also has professional data analytics experience in media, healthcare, aviation, logistics, and FMCG industries. He is also a Member Of The Board Of Advisors at YouPay, an alternative payment solution in Australia. Kshira was recognised as one of the Top Australian analytics leaders by the Institute of Analytics Professionals of Australia (IAPA) for three consecutive years since 2019. In this exclusive episode, Kshira shares with us how he is enabling the enterprise to make faster and smarter data-driven decisions. The interview starts with Kshira telling a brief history of Latitude Financial Services. How it has been helping millions of customers in Australia, often from behind the scenes. How without the physical footprint, like the traditional banks, the company has been growing a loyal customer base Does being fully digital make the company more data-driven and agile. If so, then, how? How does the company face similar challenges as any traditional company? How the senior leadership and a smart decision-making process helps the business to overcome the challenges. Work that Kshira has been putting in to build the data analytics capabilities of the company. Kshira also shares his views on how an organization can build and support self-service analytics capabilities. He shares with us a simple framework of TEA – tools, education, and access. Self-service not only means access to dashboards but also open access to discovery and engineering. Tips and strategies for increasing data literacy and strong data penetration within the organisation. Approach and framework for analytics capability development for a brand new product as well as risk management and avoiding data bias. The critical aspects of personalization vs data ethics. What the company should be doing to make the customers understand the organizational efforts to protect customer data and privacy. If you are a senior manager or an executive leader who wants to develop centralized data and analytics capabilities and a centralised chief data office, this is the episode for you. If you are a data analytics practitioner tasked with building brand new data analytics capabilities from scratch without any playbook, you will also benefit hugely from Kshira’s guidance. BusinessAnalytics, DataAnalytics, MachineLearning, DataLiteracy, CustomerExperience, DataScience
August 29, 2021
E70 - Andy Sutton - How to Use a Personalisation Engine for Enhanced Omnichannel CX
Andy Sutton is the Head of Data & Personalisation at Endeavour Drinks Group (ASX:EDV). Endeavour Drinks is the largest liquor retailer in Australia under the BWS, Dan Murphy's, Cellarnasters, and Langtons brands. Andy is currently working on setting the data and personalisation vision and strategy for Endeavour Drinks. He has over 20 years of experience in working with data insights, campaign optimisation and personalisation, and marketing strategy development. Andy is passionate about communicating the importance of data throughout the organisation so that all the teams are active in utilising data tools for improving customer experience. He operates on the sweet spot where data, technology and marketing meet. Translating business problems into analysis problems is one of his core skills along with personalisation and optimisation using data science. Before Endeavour Group, Andy worked in various leadership roles at Legal & General, Lloyds Banking Group, and Woolworths Supermarkets. At Woolworths Supermarkets, Andy led the delivery of a liquor personalisation engine that delivers a significant amount of incremental sales per year. He also led the optimisation of a world-class personalisation engine that delivers personalised content for 10 million rewards customers across food, liquor and general merchandise lines. In this episode, Andy shares all about how he has been working and achieving with the personalisation engine and how you can also do the same. How Andy and his company embarked on the personalization journey. The story of how an email from the unimpressed CEO after being unnecessarily down sold started all that. The initial humble beginnings and how Andy and the team started small to prove their success. How personalization works for email marketing and the anatomy of a highly personalized and successful email campaign. What are the personalization details that make an email into a great email? The testing machine that Andy has to continuously try and test out different versions and combinations for fine-tuning everything even up to the tone used. How Andy grew his team and has been expanding into other areas of personalization, The importance of personalization for the mobile phone app is his next frontier. How mobile apps are different in that users are always logged in, contrary to the web when the majority of users are browsing without logging in. How to take personalization to the offline world. Challenges and possibilities of personalization in offline stores How effective personalization can produce a wonderful in-store experience Advice to follow and roadblocks to be aware of while creating a personalization engine for your business. If you’re a senior leader who has been pondering about personalisation and wants to utilize omnichannel personalization tools and strategies to enhance the customer experience this is the episode you do not want to miss out on! BusinessAnalytics, CustomerExperience, Personalisation, DataScience
August 22, 2021
E69 - Eran Vanounou - 10x - 100x Faster Data Lake Analytics with Autonomous Indexing
Eran Vanounou is the CEO of Varada, a data lake acceleration platform that enables business users and data platform teams to seamlessly carry out analytics directly on their cloud data lake without compromising on query performance. It’s all about agility and flexibility -- No need to move data or model it to get any insights that you may need. Varada enables the fastest time big data analytics ensuring the fastest possible business analytics and quickest go-to-market time. It offers the perfect balance between performance, scalability, time to market, and cost. Varada CEO Eran has over 20+ years of extensive experience in developing and running technology businesses. He is passionate about the effective blend of technology, people, and business dynamics to unleash incredible results. Before joining Varada, Eran has held various leadership roles in companies like LivePerson, NICE, Oracle, Sun Microsystems, and other leading software and technology companies. At LivePerson, Eran led a worldwide team that developed and took to market LiveEngage, the world's leading cloud platform, supporting over 2 billion consumers and generating over $200 million annually. In this episode, Eran shares all about data lake analytics and how you should be performing your analytics directly into data lakes to speed up your business performance. Here are the key points of discussion of this exclusive episode: Why did Eran decide to transition from large MNCs to the startup ecosystem in his career? How was his journey of this transition? Eran also shares some valuable advice for executives wanting to follow this path and looking to take the risk of joining startups. What is data lake analytics, and what does it mean for your data analytics platforms. How can your data engineering teams and business teams take advantage of data lakes? As we are collecting more data than ever before, data lakes are also becoming more important than ever before. The way we should look at the modern data architecture in terms of using data lakes and warehouses. When and how to take advantage of both data lake and warehouse. Importance of having a data warehouse as well as the drawbacks of data warehousing. The shortcoming of data warehouses is exactly why it has become increasingly more important to apply analytics directly into data lakes. How data lake analytics speeds up the performance of analytics and provides faster and more precise insights. The technology and infrastructure required to make data lake analytics possible. How Varada carries out the indexing of underlying extremely large data sets for improved performance. If you are a data leader frustrated with the performance of your data lakes and want to find out how you should be structuring your data lake and data warehouse, this is the episode you should not miss! BusinessAnalytics, DataAnalytics, DataLake, DataWarehousing, BigDataAnalytics
August 15, 2021
E68 - Rachel Fojtik - Data Storytelling in the Healthcare Industry
Rachel Fojtik Directs Business Engagement for Data & Digital Solutions at Mater Health Services and is Managing Director at Data Literate by Design. Mater Health Services has an extensive network of hospitals, health centres, and related businesses across Queensland. Mater Hospitals have played a key role in the provision of healthcare in Queensland since 1906. On the other hand, Data Literate by Design helps organisations develop and implement their data literacy strategy by focussing on Culture, Capability and Communication Rachel is currently responsible for Business Engagement in Mater’s Data and Digital Solutions team, with a key focus on the engagement of businesspeople in using data effectively to make decisions. In this function, Rachel is working towards the organisational goal of becoming data-driven, by being the interface with businesspeople and clinicians, by providing training around data,  and by setting up communities of practice where employees across the organisation interested in analytics can collaborate. Rachel was previously the Director of Analytics and Performance at Mater. In this role, she implemented Mater’s first hub and spoke model for data and analytics, enabling people all around the business to develop the analysis tools they required. Other achievements in this function include implementing an end to end data analysis platform and managing a high performing team. Before Mater, Rachel coordinated and set up a number of end-to-end data and analytics platforms, and best practice data standards in organisations such as Citi, CS Energy and Queensland Health. In this exclusive episode, Rachel shares with us some thought-provoking tips and strategies on data literacy, data storytelling, and engagement building between businesspeople and digital teams. Here are the key focus areas of the interview: How to increase data literacy in any organisation. What data literacy means for a business and the impact of data literacy when all the people within your organisation understand the use of data. Tips and strategies on how you can increase the use of data and help the organisation to become more data-driven How to train and upskill your team members on data literacy. Some of the challenges you might face while increasing the adoption of data technologies Rachel also shares some of the work she has been doing at Mater Health Services. Literacy and engagement in the use of data analytics in the healthcare industry. The mindset and approach in the use of data in health care vs. commercial sectors. How to use data to tell more about your organization and infuse data in storytelling The impact of storytelling on the overall business performance. If you are in the executive management team in the healthcare industry trying to understand how to increase data literacy and the use of data in your organization, this is the episode you should not miss! BusinessAnalytics, DataStorytelling, DataLiteracy, DataAnalytics, DataScience
August 08, 2021
E67 - Anu Kukar - 3 U’s of Data Security Risk Management
Anu Kukar is the Associate Partner - Cyber Security Strategy, Risk & Compliance ANZ at IBM. She leads the ANZ Cyber Security - Strategy, Risk & Compliance team for the critical infrastructure sectors. IBM is a multinational company focused on hybrid-cloud and Data & AI, operating in over 170 countries. Anu is also the Director of Arascina that helps organisations and professional associations through upskilling, reskilling and cross-skilling services. Anu has over 20 years of experience in both industry and consulting in various executive roles, specialising in cyber, data, technology and third-party risk, governance & compliance. She held many leadership positions in risk management, data and technology risk and compliance at organisations like Deloitte Australia, Commonwealth Bank, Westpac Group, KPMG Australia, Latitude Financial Services and others. She is also an internationally acclaimed keynote speaker at 49+ industry conferences in 9 countries. She has co-authored five publications globally and across Australia in artificial intelligence, emerging technologies and third party/supply chain risk management. She is a qualified Chartered Accountant (ICAANZ), holds a B Commerce in Accounting and Information Systems (UNSW), and holds certifications in Data Science (Berkeley), AI, ML & Automation (MIT) and Cyber Risk (HarvardX). In this episode, Anu shares with us: The story of her career progression - how she gradually grew in her career and finally moved into data analytics and AI. How all the different professional experiences have helped her and enabled her to have a well-rounded and holistic professional life. All that you need to know about data security and risk management. The framework of 3 Us of data risk management. How can you use that framework in your organisation? How can data leaders safeguard their data? The risk management framework to prepare for future risk. What are the core principles of building a modern risk resilient organisation? How you can upskill the employees in adopting new emerging tech. The risks of not upskilling your employees in this age of digital disruption. If you are a senior leader or data leader wanting to incorporate new emerging technologies in your organisation, you must listen to Anu to find out how you can manage all the risks related to the emerging tech and prepare for the future risks as well. BusinessAnalytics, CustomerExperience, DataScience, RiskManagement, DataRiskManagement, CyberSecurity, CyberSecurityRisk, RiskOutcomes
August 01, 2021
E66 - Chris Dolman - Practicalities and Opportunities of Ethical AI
Chris Dolman is the EM, Data and Algorithmic Ethics at Insurance Australia Group (IAG). IAG (ASX:IAG) is the largest general insurance company in Australia and New Zealand. Chris joined IAG as Manager, Insurance Liabilities in 2010. Since then, Chris has held various senior leadership positions across the company, including analytics director and GM analytics. Over the years, his responsibilities have included oversight of the insurance liabilities, pricing, regulatory engagement, actuarial, finance, reinsurance, risk and capital. Presently, he is helping IAG to ensure that data-driven decisioning algorithms operate under clearly defined standards. He thrives on exploring the critical ethical and philosophical questions about the use of AI technologies. He is constantly engaged in volunteer activities with Actuaries Institute Australia and professional events to promote the responsible use of data and AI. He is also heavily engaged in various research initiatives with organisations and academia on related aspects of ethical AI. Chris was a pivotal force in setting up and developing the data science capabilities at IAG. He is also a pioneer of paving the way for the company in greater use of algorithmic decision making. He led IAG's analytics function in its early inception and instigated projects which ultimately realised multi-million dollar benefits across organisational verticals. Chris won the 2021 All-Actuaries Summit Melville Prize for his paper discussing IAG’s Australian AI Ethics Framework project that he led. He also won the Melville Actuaries Summit Prize 2020 and Actuaries Institute "Spirit of Volunteering Award" 2020. In this exclusive episode, Chris shares with us: How his academic background in mathematics and the problem-solving skills that he acquired helps him with data analytics in the insurance industry. How the younger generation can develop their career in the field of data analytics and ethical AI. Chris also shares his paper on IAG’s Australian AI Ethics Framework and how to incorporate this framework. The aspect of the size of data sets and the impact of size on the AI systems from the ethical perspective. What’s important in designing the systems to ensure the ethics are incorporated He explains all these with case studies and examples from the insurance industry, like pricing analytics and the use of AI in claims assessment. The social impact and the customer impact of ethical AI. Frameworks and conceptual tools that Chris and his team have developed at IAG. How other industries can learn from the insurance industries’ data-driven systems and ethical AI practices. Creating the balance between driving the business growth vs the impact on society. How the engineers and senior managers can make the right decision while designing your business IT systems. If you are a senior business leader, who has been wanting to implement AI in your organisation, but you are equally concerned about the bias and ethical issues surrounding it, this is the episode you should not miss. BusinessAnalytics, AIEthics, DataAnalytics, InsuranceAnalytics, DataScience
July 25, 2021
E65 - Sue-Anne Lim - Interoperating Branding, Advertising and Marketing with Data Science
Sue-Anne Lim is the Chief Executive Officer (CEO) of Trapper, a leading marketing and media agency in Malaysia. Trapper helps clients grow their business exponentially through innovative and integrated solutions. The company has full-scale digital marketing and data analytics capabilities to serve its clients. At Trapper, Sue-Anne recently led the rebranding of the company from Trapper Media Services to Trapper to signify a company-wide brand transformation that centres on a growth culture. Previously, Sue-Anne was the managing director of CLEAR Kuala Lumpur, a global strategy consultancy specialising in unlocking growth via business, brand, experience and innovation design. She was also the Managing Partner at United & Free Co. and Chief Data & Strategy Officer at Dentsu Aegis Network. Sue-Anne has over 20 years of experience in marketing planning, strategic planning, business planning, strategy development, research, and social discovery. Sue-Anne has a bachelor degree in creative advertising, marketing and advertising and a professional certificate in business analytics and big data from Harvard Business School. She also has recently completed her Master of Science in Psychology. Sue-Anne has published thought-leading articles and spoke in industry events on digital disruption in Asia. In this episode, Sue-Anne shares with us some in-depth wisdom from her holistic experience in the world of marketing and advertising. The crucial aspects of media buying both for the traditional and the digital media spaces. Importance of balancing the brand positioning with the performance marketing efforts. How organizations should balance the available traditional and digital channels and tools to achieve the desired impact in the long run. What’s and how the platform is democratizing the traditional media buying landscape. How has made the process of media buying significantly easier for businesses. What are the dangers that one should avoid while making media buying decisions? Importance of having a holistic view from the start to the end in terms of goals and objectives. Here comes the experience of the marketer and the advertiser into the picture. How to make sure that your marketing spend is justified. The place of data science, AI, and analytics in the marketing and advertising world. If you are a senior executive thinking about how you should be dividing your marketing spend between traditional and digital media, this episode is highly recommended for you. Find out the best ways to achieve market penetration using the best of both worlds! BusinessAnalytics, StrategicPlanning, CustomerExperience, DataScience, MediaBuying, MarketingAnalytics
July 18, 2021
E64 - Tim Spicer - Disrupting the Automotive Insurance Market with Risk-Rated Pricing
Tim Spicer is the Head of Automotive Business at Assetinsure Pty Ltd. Assetinsure delivers innovative specialist insurance solutions to the business community. The company has been delivering a variety of innovative solutions to the Australia and New Zealand market since 2004. Tim has more than 25 years of experience in actuarial science working primarily in general insurance and accident compensation sectors. Currently, Tim is moving towards a new direction in his career through his role at Assetinsure where he is focused on developing high-quality products and services for the automotive sector to help reduce monetary and regulatory uncertainty related to financing, ownership, and maintenance of motor vehicles. Previously, Tim worked at various actuarial leadership positions at organisations such as Eric Insurance, Genworth, Ernst & Young, Taylor Fry Consulting Actuaries, and more. In this exclusive episode, Tim shares all about the add-on insurance market that we may not see in the headlines that much, but it’s certainly in many parts of our life. What is addon insurance? Types of add-on insurance in the market. How the add-on insurance market is running and the dynamics among the parties involved. What are the major business processes within the industry? The challenges, structure, and composition of various elements of the business processes. How the insurance policies and products are being packaged and sold. How the add-on insurance products are priced. The prevalence of the community-rated pricing system and why it needs to change. The changes that Tim and his company are looking to introduce to move into risk-rated pricing. Use of data analytics in risk-rated pricing. The technological infrastructure that is needed such as the API and the purchase of data from external sources. How this change into the risk-rated pricing can be revolutionary for the add-on insurance industry. If you are a senior manager coming from an IT background, you will really enjoy the focus and understanding that Tim shares about the product challenges people are facing within the industry. How the purchase and buying behaviours of the customers are super important for understanding how to sell a new or existing product. Also, how to take the ability to look at the bigger picture and the economics of different stakeholders into consideration. If you like this episode make sure to subscribe and share the episode with friends and colleagues. BusinessAnalytics, Insurance, InsuranceAnalytics, PricingAnalytics, CustomerExperience, DataScience
July 11, 2021
E63 - Ben Nichols - Improving Customer Experience with Natural Language Processing in Banking
Ben Nichols is the Head of Product at IMS, Inc. Based in Liverpool, New York, IMS, Inc. is a fully integrated service provider of Conversational AI, Robotic Process Automation (RPA), Payments, Print, Electronic, and Mobile Communications. Ben is also an Adjunct Professor of Data Science at Syracuse University, where he conducts lectures on Natural Language Processing, Database Design, and Scripting for Data Science. Prior to that, Ben was Senior Director of Customer Insights at CB4, an AI tool that helps retailers uncover and fix the costliest in-store issues. At CB4, Ben led a team of insights managers, sales solution architects, and data engineers who were responsible for multi-million dollar customer retention, customer upsells, and fulfilling new revenue goals. Before CB4, Ben worked in multiple data intelligence and business analytics roles at organisations like IBM and Morgan Stanley. In this exclusive episode, Ben Nichols shares with us the following aspects of his life and career: Talking from his past experience, he shares with us his views on the differences between working at a large organization vs working at a startup. He also explains a few pros and cons for each scenario. The state of the sync between academia and the industry in terms of developing data talents. What are the challenges that academia faces in this regard? How conversational AI and hyper-automation technologies are being used in the financial sector. What are the real-life benefits the credit unions and community banks are getting from this technology? How other industries can also use and benefit from these same tools and technology. Ben also shares his philosophy on product development and management and why we always need to see the bigger picture. What are the current capabilities of Natural Language Processing (NLP) and chatbots How cross-channel integration can be fostered using NLP for enhanced customer experience. What are the avenues of NLP Beyond chatbots? If you are a senior executive working on utilizing NLP technologies for enhancing your customer experience, or if you are an engineer working in analytics product development and management, this is the episode you should not miss! More links about the guest LinkedIn:   What is one book that he would gift to his younger self: How to Read a Book: The Classic Guide to Intelligent Reading by Mortimer J. Adler and Charles Van Doren Organisation: BusinessAnalytics, CustomerExperience, DataScience, NaturalLanguageProcessing(NLP), ProductDevelopment, ArtificialIntelligence(AI), MachineLearning(ML), DataAnalytics
July 04, 2021
E62 - Sveta Freidman - Embedding Data Science in Digital Marketplace Business
Sveta Friedman has an innate passion for connecting people with data to facilitate better business decisions. She has extensive experience working in different industries including gambling, retail, health, digital businesses, and startups. She has been working in the field of data and analytics for over fifteen years. Sveta has worked at as Data Analytics & Science Director for almost five years. is the number one online automotive classifieds business in Australia. The company employs approximately 1200 people across the world and is a member of the S&P/ASX100. Sveta was also the Head of Data & Analytics at Envato, the world's leading marketplace for digital assets, for four years. She is also a recognized professional in the field. She was awarded the Top Analytics Leaders of the Year by the Institute of Analytics Professionals of Australia. Sveta also has been listed in Global Data Women of the year by CDO journal. Sveta Freidman started her professional life as a statistician in Israel. She moved to Melbourne Australia in 2010 and started working as a Senior Business Analyst at The Royal Victorian Eye and Ear Hospital. Later, she worked as Head of Data & Analytics at Envato. We surely have a lot to learn from her experience and expertise in data science and analytics. In this episode sponsored by the masterclass run by BrightData and DDA, Sveta shares with us many crucial aspects of using data science in running a digital business. The one principle that she always values the most – creating a data-driven culture. Importance of data availability and maturity in creating the data-driven culture. How different digital marketplaces are using data analytics. The masterful use of a recommendation engine by How the recommendation engine relates to embedding and automating data analytics into the business operations. How other businesses can also use such recommendation engines. The use of internal and external data for building your data analytics platform. Stages and steps of creating data maturity for a traditional business. How can you approach the task of creating a data analytics platform from scratch? The place of innovating new business use cases of technology in integrating the online and offline worlds. How to involve all within the organization in the data journey. If you are an executive working on creating and embedding a data analytics platform into your business operations and enhancing your customer experience, this is the episode you shouldn’t miss. Lastly, I want to remind you once again that I will be delivering a masterclass with BrightData on June 28th and 29th on embedding and automating a revenue optimization engine so that you don’t have to leave money on the table. Registration link: DataAnalytics, BusinessAnalytics, eCommerce, DataScience, DigitalMarketplace, DataMaturity
June 27, 2021
E61 - Jason Tan - The 3 Critical Rules of Building an Advanced Data Analytics Platform
This is a special episode from The Analytics Show Podcast, in the sense that it’s the second solo episode from your host Jason Tan. This episode is all about me sharing my expertise and knowledge of embedding and automating data and analytics so that you can dynamically optimise your revenue by going beyond dashboards. I have been working on understanding how modern high-performing organisations like Amazon, Netflix, Facebook, and other data-driven companies from around the world are using data science to not leave money on the table. I have also been experimenting with new techniques and strategies in my own businesses and for our clients. I have worked on developing and streamlining the complete process of embedding and automating data analytics for your business. In this special episode, I am sharing with you the 3 critical rules of building an advanced data analytics platform: Move beyond the dashboard. Embed data analytics into your business operations. Integrate the analytics platform with the legacy system. I also share about: Some real-life examples of Amazon, Netflix, and other big companies. Various use cases of embedding data for different kinds of businesses. A deep dive into the special use cases for the banking and insurance industries. Why this automated and dynamic use of data analytic is more important than ever before in this digital age. Knowing at which phase your customers are and aligning product messaging and placement accordingly. How automation comes in to dynamically adjust all that in real-time. How embedding and automating data analytics create the revenue optimization engine. The differences between the traditional and modern data analytics platforms. Integrating the analytics platform into data and table format to speed up the whole process with examples. Finally, I wanted to share with you that I am teaming up with Bright Data to run an online masterclass on 28 and 29 of June 2021. The topic we will be discussing is how not to leave any money on the table with a revenue optimisation engine. In this masterclass, I’m going to share with you What’s the world-class revenue optimisation engine used by the insurer and leading retailers. I will show you a 5 modules implementation process and every single step on creating an end-to-end solution that you can take back and start implementing at your organisation. Why this will boost your revenue by at least 10% without significant large sums of investment necessary. Here’s the registration page for the free masterclass: Share this podcast with your friends or colleagues. There are many practical tips for data analytics that they can borrow from top businesses to use in their own work. BusinessAnalytics, DataAnalytics, Automation, BusinessOperations, DataScience
June 20, 2021
E60 - Albane Flamant - Data Analytics in Social Listening & Consumer Insights to Drive Revenue
Albane Flamant is the Head of Brand & Data Storytelling at Talkwalker, social listening and consumer insights services provider to brands all over the world. Talkwalker was named a Leader in social listening by The Forrester Wave™ Report. Albane joined Talkwalker as a Digital Communications Officer in 2015 and in this very short period of time she was promoted five times within the organisation and became the head of brand & data storytelling. Previously, she was in charge of the development of Talkwalker's presence & marketing activities in the French market and the US markets, from influencer relations to content marketing. Talkwalker helps in making sense of consumer & customer feedback across all channels. Their listening and analytics tool enables more than 2,000 companies worldwide to protect their brands, measure their impact and gain the key consumer insights that drive purchase decisions. Going beyond social listening, the company also offers an AI-powered conversational intelligence platform that connects the dots between what customers think, say, and do. Albane has a Dual Master in Journalism & International Affairs from the Institut d'Etudes politiques de Paris and bachelor’s degrees in law and communications. She started her career in communications, writing, journalism, and research and still continues to be a prolific writer. She writes at the Talkwalker blog regularly. In this episode, Albane offers a comprehensive view of data analytics in social listening & consumer insights. The story behind Talkwalker - How Talkwalker got established, its vision, and present situation. How data analytics is at the centre of social listening and sentiment analysis. How sentiment analysis works. How everyday brands are using sentiment analysis to improve customer experience and drive revenue. The use of AI & ML technologies in social listening, consumer insights, and product research. Benefits of podcast monitoring for brands and how Talkwalker monitors 35 thousand podcasts. Utilizing customer feedback from all the available channels to improve customer experience. The place of review platforms and facing fake and bot reviews and activities. Some of the fascinating real use cases of Talkwalker technologies. If you are a CMO and you want to always be on the pulse of your customer sentiment around your brand and products, this is the episode you shouldn’t miss! BusinessAnalytics, SocialListening, ConsumerInsight, CustomerExperience, DataScience
June 13, 2021
E59 - Sakhee Dheer - Data-Driven Marketing - Marketing “Marketing” to Marketers
Sakhee Dheer is the Head of Digital Marketing, Global Business Marketing - Asia Pacific at Facebook. She is all for data and insight-driven marketing and business development. Facebook (NASDAQ: FB), as you all know, needs no introduction with its 1.84 billion daily and 2.80 billion monthly active users worldwide. Sakhee has been working at Facebook for around five years now. She is responsible for all aspects of Digital Marketing and Media across Asia to inform and promote advertising on Facebook's family of apps. Sakhee drives end-to-end integrated digital marketing efforts to bring the best impact for Facebook Business's content and campaigns. She manages a team of marketing managers across the APAC region. Before joining Facebook, She was the Head of Digital Marketing & Analytics, Asia Pacific at Microsoft. At Microsoft, she worked across all APAC markets to create unique insight-driven media strategies and plans. She was instrumental in building Microsoft's first social media operations centre in Singapore. Sakhee was also nominated by Women in IT Summit & Awards Series in the Digital Leader of the Year category. Sakhee is an alumnus of the Indian School of Business and the National University of Singapore. In this exclusive episode, we also have @Sue-Anne Lim, CEO of @Trapper, as a guest host with us. Here, we get to find out some of the essential aspects of marketing in the digital age, like creative planning, creating production, and the place of data analytics. The importance of being in touch with yourself for bringing new levels of mindfulness to work. How Sakhee transitioned from engineering to marketing. Challenges of working with a fast-paced organization like Facebook. Intricacies and complexities around the use of internal and external data for marketing. What’s the best data strategy for your Facebook ad campaigns. Future of data privacy and personalization, and also some of the misconceptions around it. The problem of social media misinformation and what are the ways out. Data-driven marketing to pinpoint your objective, messaging, and channels. How to create thumb-stopping ads. Upcoming major changes in digital marketing. How Facebook data is handled and protected in case of partnerships. Some valuable advice for new marketers. If you are the chief marketing officer or a senior official who want to know how you can utilise the power of marketing data to get the message out effectively, this is the episode for you! BusinessAnalytics, DataDrivenMarketing, DigitalMarketing, BusinessIntelligence, CustomerExperience, DataScience
June 06, 2021
E58 - Shantha Mohan - A Founder’s Perspective in Building an Analytics Solution Using Data Governance & Product Development
Shantha Mohan is an Executive In Residence (EIR) at Carnegie Mellon University - Integrated Innovation Institute, Silicon Valley. Shantha has over 36 years of experience in software development and engineering, product development, data science, entrepreneurship, and building and leading large tech teams. In her current role as EIR at the Integrated Innovation Institute at Carnegie Mellon, she co-delivers courses, contributes to curriculum design, and mentors students in their projects and practicums. Shantha is also a Co-founder & Chief Development Officer of Retail Solutions Inc. RSi is the world's leading technology company enabling CPG manufacturers and retailers to optimize their market position and drive greater profitability – from supply chain to shelf. At RSI, she ran Product Development and was responsible for scaling the product development team across the world and delivering multiple applications. Her worldwide product development team built the products & services which made the company the leader in Retail Analytics used by top Consumer Packaged Goods (CPG) companies and retailers. Previously, Shantha worked in various leadership roles at Applied Materials, the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Shantha has a PhD in Operations Management from Carnegie Mellon University. She is also the author of Roots and Wings: Inspiring Stories of Indian Women in Engineering. In this exclusive episode, Shanta shares some pearls of wisdom from the extensive experience she has in business and academia. Difference between teaching and leading teams from her experience. How her team developed a data analytics solution to identity out of stock products. Value of combining the three elements of design, development and product management into one philosophy. How can we encourage more women to join engineering and tech? Reasons behind lower female participation in the workforce, both in the east and the west. Projects her students are working on involving data lakes, AI, ML, data quality assessment tools, and data governance. What mistakes companies are making in data governance. Tools you can use for strengthening data governance in your organisation—data catalogue, data discovery, data observability, data lineage, and data security. When to prioritise what when it comes to maintaining data governance and creating an MVP as fast as possible? Importance of letting the users know about the product limitations. Why products are never finished and when to move on. Product development and management for data solutions. Importance of UI/UX for data solutions and data pipelines. If you are working on anything associated with data analytics and data science, this is the episode you shouldn’t miss. There’s something for everyone in this episode. Also, share this episode with your peers and friends in the industry who might benefit from the deep expertise and wisdom of Shanta Mohan! DataGovernance, BusinessAnalytics, DataAnalytics, ProductDevelopment, CustomerExperience, DataScience
May 30, 2021
E57 - Ben Chan - Skills Required to Successfully Navigate Industries as an Analytics Professional
Ben Chan is the Chief Product & Data Officer at Sportsbet, an online wagering company that brings excitement to life for millions of customers in Australia. At Sportsbet, Ben leads 200 people responsible for Product, Data, Risk and Trading. His group pioneers incredible betting experiences for millions of customers, by bringing together betting markets in great sporting and racing events, building data science models that ensure the customers are receiving personalised experiences, while proactively managing the risk and liabilities that come with the business, and building all of that into a beautiful easy product. Before Sportsbet, Ben was the Chief Operating Officer and Acting CEO of Envato, where he led 600 people to grow the world's leading online marketplace and ecosystem for digital content and creatives. He was also previously at McKinsey & Company in Australia/Taiwan/UK and at Goldman Sachs trading Foreign Exchange on Wall St in New York. Ben has Bachelor’s degrees in Engineering (Civil) and Commerce (Actuarial Mathematics) from the University of Melbourne where he graduated top of his class in both degrees. Ben also has an MBA from Stanford University where he graduated in the top 10% of his class. In this episode, Ben shares about career growth in technology and the most important skills required to be successful in your career. Importance of giving more attention to people and empowering people for organizational growth. Lessons from the trading floor and how it helped Ben in his later career. Unless you are losing blood or millions of dollar by the second, there’s nothing to stress about. Dealing with disruption and preparing for the future. Ben’s experience at McKinsey and how McKinsey supports and fosters employee development. The insider story of growing Envato from 100 to 600 people. Tips for developing and growing digital marketplaces from Ben’s real-life experience. How to manage large analytics teams. Why the most important skills for navigating job & industries are people & leadership skills. How to develop leadership skills – how it’s important for whatever role you are in. So, this episode would be helpful for anybody who is thinking about career growth or changing their job or any analytics leader or manager who wants to focus more on developing their people and teams. Tune in right now! BusinessAnalytics, CareerGrowth, ProfessionalDevelopment, CustomerExperience, DataScience
May 23, 2021
E56 - Michel Tricot - Commoditized Data Integration and What It Means for You
Michel Tricot is the CEO and Co-Founder of Airbyte, the new open-source data integration platform that syncs data from applications, APIs, and databases to data warehouses. In 2020, he co-founded Airbyte, the new open-source ELT (extract, load, transform) standard for replicating data. After only five months, Airbyte raised $5.2M in seed funding from Accel, YCombinator, 8VC, and some high-profile business angels, including the co-founder of Segment, the former GM Cloudera, and the co-founder of Liveramp and Safegraph. 600+ companies have synced data using Airbyte in the first 6 months. Michel has been working in data engineering for the past 15 years. Previously, as the head of integrations and engineering director at Liveramp (NYSE: RAMP), he grew the team responsible for building and scaling the data ingestion and data distribution connectors.  Michel’s team was managing over 1k integrations with adTech partners, delivering hundreds of billions of requests daily to these partners and ingesting over a terabyte of data daily on behalf of all LiveRamp customers in a privacy-compliant way. LiveRamp was acquired by Acxiom for $310 million on July 1, 2014 and is now a $3B independent company. Michel was also a founding member & Director of Engineering of rideOS, a Mobility as a Service (MaaS) technology provider that empowers automotive, autonomous vehicle, ride-hail, transportation, and delivery businesses to build, operate, and scale on-demand transportation offerings utilizing both self-driving and human-operated fleets. In this exclusive episode, Michel offers a detailed account of the story behind Airbyte’s success and how Airbyte makes data integration much easier for businesses. Here are the major points of discussion: How Michel built his career as a software engineer and used it as a foundation to start his own company. Creating a product that’s not only a good-to-have but a need-to-have. How to outreach potential customers to survey their needs and use the interviews for product improvement. The ingenious idea of using the same outreach contacts to test out the MVP. Advantages of the open-source approach to data integration and software development. The importance of community building for constant improvement and business growth. What’s the story behind Airbyte’s exponential growth and getting investment. What makes Airbyte different and better than others? Why do you need external and internal data integrations to grow your business? How Airbyte makes integrating external and internal data sources much easier. If you are a software engineer thinking of starting your own business or you are already running a business and want to know how you can integrate external and internal data sources to grow your business, this is the episode you shouldn’t miss. BusinessAnalytics, DataEngineering, DataIntegration, ProductDevelopment, CustomerExperience, DataScience
May 16, 2021
E55 - Maurice Liu - Combining Data Analytics and Design for Health Insurance and Care
Maurice Liu is the Head of Product and Analytics at TUH Health Fund. He is also a Chartered Financial Analyst (CFA). TUH Health Fund was established in 1972 by a group of teachers wanting better health insurance. And, while they now protect the health of Australians from various industries, their approach is the same. They believe in fairness and treat everyone as an individual, not a number. TUH is a not-for-profit organisation and 100% owned by its members, not shareholders. Maurice joined the TUH as an Analytics Manager in 2015 and became the head of product and analytics in 2019. He is responsible for the underwriting of health insurance services and providing strategic guidance through things like the recent health insurance industry reforms and the COVID-19 pandemic. He has been working in the statistical and financial analysis sector for more than 14 years. Before joining TUH, Maurice worked at Westpac, Aussie, ASX, and others. He also worked as a Lecturer at the University of Technology Sydney for two years. In this episode, Maurice explains in great details the private health industry in Australia and how data and analytics are being used in the industry. Similarities and differences among consumer product design, industrial product design, and insurance product design. Problems solving mandate and customer-centricity in product designing. System and nature of the business for private health insurers in Australia. How data science is used in the private health insurance industry. How data and analytics help in streamlining features and anti-features via Kano analysis. The use of data analytics is fraud and leakage reduction. The place of competitor analytics, community rating systems, and stress testing in insurance pricing. Using analytics keeping the legal, social, and other business constraints in mind. How you can optimize your products and business even under operating under all these constraints. If you are one of the professionals working in one of these industries where there are lots of constraints, then this is the episode for you to know how you can use data analytics for constraint optimisation. BusinessAnalytics, Insurance, InsuranceAnalytics, CustomerExperience, ProductDesigning, DesignThinking, DataScience
May 09, 2021
E54 - Michael Steinmann - AI Voice, Behavioural Biometrics, and Cyber Security
Michael Steinmann is the Director of Regional Technology at Nuance Communications. Nuance Communications, Inc. (NASDAQ: NUAN) is the pioneer and leader in conversational artificial intelligence (AI) innovations. With decades of domain and artificial intelligence expertise, Nuance works with thousands of organizations, employing around 10,001 professionals. The company has a revenue of around 1.931 billion USD. Nuance was founded in 1992 and merged with its competitor in the commercial large-scale speech application business, ScanSoft, in October 2005. Nuance is also one of the major forces behind the creation of Siri, Apple’s voice assistant. Michael has been working with Nuance Communications since 2007 and had been the company’s Chief Technology Officer (CTO), before becoming a Director. At Nuance, Michael’s major focus right now is to help the largest regional customers better understand and utilise the suite of Biometric Authentication and Artificial Intelligence technologies that they offer. Before joining Nuance, Michael worked as the General Manager at Telstra. He had also held senior technology positions worldwide at organisations, including Genesys, Informix, Ingres, Sun, and AT&T. In this episode, Michael shares with us some of the cutting-edge advancements in the worlds of natural language processing (NLP), enterprise speech recognition technologies, and cybersecurity. Here are the highlights: A fascinating patent that Michael holds for a call centre and advanced customer support technology. The history and development of virtual agents using NLP. How technology has developed and improved the quality of human-machine interactions over the years. The fascinating world of voice recognition technologies from Nuance Communications in seven billion devices. How Nuance helped supply the technology to build Siri. How the quality of the text-to-speech tools has also improved and how it has been used. Role of data science in all this – it’s all about the linguistic data you have. The transition from statistical models to neural networks in speech recognition. How computers understand the intricacies of language How the domain-specific microservices are making life easier for business owners. Benefits of voice biometric security methods. Using voice behavioural and biometric signals, and speech patterns to detect fraudsters. Flaws and dangers of the prevalent security methods. How to make sure that your security measures don’t impact the customer experience. Why it all comes down to simplifying communications among teams and with customers. If you are the CEO or CTO who wants to be updated about the latest developments in customer experience and cybersecurity this is the episode for you! ArtificialIntelligence(AI), NaturalLanguageProcessing(NLP), SpeechRecognition, BusinessAnalytics, Cybersecurity, CustomerExperience, DataScience
April 18, 2021
E53 - Anatoly Tulchinsky - Strategy and Approaches to Drive Better Business Outcomes Using Data & AI
Anatoly Tulchinsky is one of those individuals in the data space who has got it all covered! Along with the full spectrum of technological knowledge, skill, and expertise, Anatoly accumulated extensive business acumen and industry knowledge throughout his 25 years of career. With his specialization in data monetization, advanced analytics, artificial intelligence, and machine learning, Anatoly has been working as Senior Director – Applied AI Solutions, Head of Data, Analytics & AI Practice at CGI. Established in 1976, CGI is among the largest IT and business consulting services firms in the world. With a presence across 21 industries in 400 locations worldwide, CGI provides comprehensive, scalable, and sustainable IT and business consulting services. Before joining CGI, Anatoly worked on numerous top technology positions at SMITH, IBM, and Cognos. He is the key creator and patent holder for IBM Watson Analytics technology. He partnered with IBM Research and drove some of the latest innovations into the Watson Analytics product. Also, developed Watson cognitive assets that use machine learning to self-learn and self-optimized in real-time. At Cognos, he created and patented a unique model-driven approach for implementing and maintaining analytical applications, which generated $2.8 million in sales in the first year and $6.2 million in the second year. Anatoly holds a total of 16 product patents in use today. He also regularly speaks at global conferences and summits. In this exclusive episode, Anatoly shares with us some valuable insights on: Latest technologies in data analytics that are enabling multifaceted business use cases. Use of data in customer personalization in B2B and B2C. Analyzing customer behaviour patterns from the company perspective in the B2B space. Government of Canada Scale AI program for Industry innovation. Impact of the program on future generations and better business outcomes. How other governments can replicate the same results. A high-level explanation of the organizational data strategy for the C-level. Importance of data governance in the overall strategy. How large part of the data cleansing can be automated with technology invented by Anatoly for IBM Watson. Go to market strategy for digital products or SaaS – the four aspects to consider Using data and analytics to incorporate customer understating into developing digital products - moving marketing into product development. General AI vs Narrow AI and what lies in the future. If you are in the C-level or in a leadership role or you have a digital product in the market, this is the episode you should not miss. DataAnalytics, DataScience, BigData, ArtificialIntelligence, MachineLearning, BusinessAnalytics, CustomerExperience
April 11, 2021
E52 - Mei Wai Wong - Building Legacy through the Human Aspect of Change
In this episode, we have our guest host Eric Nguyen, Senior Manager of Robotic Process Automation (RPA) at Synergy Group, presenting Ms Mei-Wai Wong, Founder and CEO of APAC Global Advisory from Singapore. Mei Wai has built up expertise and reputation in marketing and business change management throughout her incredible journey across Asia Pacific. Her works in marketing and change management range across multiple industries from personal care, food & beverages to luxury goods/ jewellery, banking, IT, hospitality, electrical, lighting and property. In 2018, Mei Wai established APAC Global Advisory with the purpose of "Building Legacy through Change." Her unique vision to change, growth, and Legacy are translated into three service offerings: Change Architects, Change Marketing, Change Services. APAC Global Advisory has also been awarded as one of the Top Change Management Consulting Companies in APAC for 2020. In this exclusive episode, we get to see analytics through the eyes of a business leader And an expert in the human aspect of change and winning the heart and mind of people. Crunching analytics and insights to get to the customers’ heart and minds. Understanding the customer psychodynamics through a deeper lense. How to keep clarity among the leadership, management, the board. How the pandemic expedited the digital transformation in Asia. The rise of digital communities and community dynamics in the digital era and the implications for marketing. How data impacts many different roles across functions. Change management in the family business. Why external consultancy is essential for change management. What makes a business survive and dominate for decades. Importance of seamless integration for data-driven organizations. Why do 80% of digitization processes fail and how to succeed? How understanding people at a deeper level is essential for professional growth. Sit Back, Relax, and Enjoy the show! ChangeManagement, BusinessAnalytics, DigitalTransformation, CustomerExperience, DataScience
March 28, 2021
E51 - David Schmidtchen - Analytics, a Catalyst for Change Beyond Math, Dashboard, and Report
In this episode of The Analytic Show, we have a guest host for us! It’s none other than @Eric Nguyen, Senior Manager of Robotic Process Automation (RPA) at Synergy Group! And, as the podcast guest, we have @Dr. David Schmidtchen. David is a Partner at Synergy Group Australia. Synergy delivers end-to-end professional services and solutions from strategic planning to change management, creative, digital technologies, financial management, resourcing, and more. David Schmidtchen has had a varied career as an army officer, management consultant, lecturer, and public servant. He is a registered psychologist with 30 years of experience specialising in culture and behavioural change. He has a PhD in Organisational Psychology/Strategic Human Resource Management. Currently, David co-leads Synergy’s creativeXpeople (cXp) practice with Sally Dorsett. The business of cXp is People and Organisational Development and Creative and Design. They work with government clients, focusing on behavioural change through effective messaging and organizational design. In this exclusive episode, Eric and David discuss a COVID-19 story, behavioural change, and workforce management. Here are the major points from the discussion: How analytics and psychology collide in real-life practices. Using analytics to find what drives human behaviour in the workplace. Understanding human psychology for data professionals to tell the story effectively through data. From finding the right data to decision-making and everything in between - why I am looking at where I am looking with which type of tools. Assumptions, uncertainty, data quality, and risk in data analytics. Use of data analytics in business and government decision making during Covid-19 pandemic word-wide. Understanding ability, motivation, triggers/reason for behavioural change. Challenges of workforce data or people data analytics. Place and utility of storytelling in data analytics and visualisation. Analytics for driving behavioural change in organisations. We have a great show for you, especially the three things about analytics that David has shared. You don't want to miss it. Sit back, relax, and enjoy the show! PeopleAnalytics, BehavioralAnalytics, BusinessAnalytics, DataScience
March 21, 2021
E50 - Jason Tan - How Data Professionals Can Use LinkedIn for Career Growth
This episode from The Analytics Show Podcast is special in many different ways. Firstly, it is the 50th episode of the show! Secondly, there’s no guest in this episode. This episode is all about me sharing my expertise and knowledge of networking for data and analytics professionals. I have been working on understanding the dynamics of networking on LinkedIn and researching all the methods of effective networking for quite some time now. I have also been experimenting with new techniques and strategies from my LinkedIn profile and fine-tuning all the techniques that work the best. I have also worked on developing and streamlining the content strategy that analytics professionals can get a lot of benefits from. In this special episode, Jason shares with us: The importance of building a network to support your career. The use of LinkedIn for data professionals in their career growth. Why around 85% of all jobs are filled through networking. The implementation of LinkedIn content strategy for building authority and influence. Less than 1% of LinkedIn users post regular content, so the competition is very low. Content helps professionals to create multiple touchpoints for hiring managers and prospects. What to post, when to post, and how to post on LinkedIn. The efficacy of a LinkedIn content strategy against paid ad campaigns. How the LinkedIn algorithm works. The 3-step framework for making the LinkedIn algorithm work for you. Helping others—liking and commenting on others’ posts - can also increase your reach and visibility. How to find and outreach to LinkedIn connections. How to send the connection request and keep working on the relationship building. So, if you are thinking of improving your networking skills and take your career to new growth avenues, this is the episode you shouldn’t miss. You can also consider this wonderful course created by networking expert and LinkedIn Top Voice Steve Nouri on mastering LinkedIn networking - LinkedIn Professional Masterclass 2021. DataAnalytics, BusinessLeaders, DataScience, Networking, ContentStrategy, LinkedIn
March 14, 2021
E49 - Or Lenchner - Here’s What Alternative Data Can Do for Your Business
Or Lenchner is the CEO of Bright Data, a leading publicly available online data collection platform. Bright Data enables all-sized organizations to access the World Wide Web with complete transparency. Bright Data's 240+ team members assist businesses, companies, and brands to responsibly reach reliable public web data or information, enabling them to make real-time intelligent decisions faster and more effectively. The company serves thousands of customers from multiple industries, market sectors, and academic institutions and is trusted by Fortune 100 firms. The company has been working with over 10,000 customers, including businesses from the Fortune 500 league. Their first-of-its-kind Automated Data Collector product allows businesses and organizations worldwide to view the internet in complete transparency, identify the mass amounts of data they need at the frequency they need it without any other intervention. All they have to do is wait for the high-quality data they requested to simply be delivered (sometimes in a matter of seconds). Several organizations recently recognized Bright Data’s market leadership in the data collection sector. After joining Bright Data as VP Product in 2017, Or became the CEO in 2018. Since becoming the CEO, Or has been continually working on expanding the company’s market base, maintaining the openness, transparency, and integrity of the online ecosystem. Or is also an official member of the Forbes Technology Council and a prolific writer on all things related to data and emerging technologies, with a specific focus on online data, multiple uses of data to address business challenges as well as ethical data collection and ad verification. In this exclusive interview, Or shares with us some revealing details on how you can make the most use of publicly available data on the web for your business: How Bright Data enables all sizes of organisations to access the world wide web with complete transparency. How it helps businesses collect publicly available data on the internet. Why large scale data collection becomes extremely important for integrating into your business Benefits of distributed teams. How to use transparency and proactivity to make a distributed team function to its fullest. Why business get a less transparent view of the web than consumers and how they can overcome this obstacle How Bright Data gives high-quality data in a matter of clicks so that businesses can see the web just as the consumers see. Or also explains all these with real-life easy to understand examples How data collection service from Bright Data works with examples from e-commerce and financial sectors. Why it’s essential now more than ever to rely on real-time data as a business owner How alternative data can help in decision making How everything is connected and every piece of information out there can help someone in the decision making While running an organization, the data you have internally can only go so far in understanding the customers and providing the best services. However, if you want to go the extra mile for improving customer experience, external data can set you apart from competitors. If you want to know how you can do that, this is the episode you should not miss. Also, share this episode with your colleagues and friends to help them future-proof their business and career! DataAnalytics, CustomerExperience, DataScience, BusinessAnalytics, DataPrivacy, WebTransparency
March 07, 2021
E48 - JJ Phillips - Up Your Business Analytics Game with Analytics Process Automation
We have previously discussed with guests about Robotic Process Automation (RPA) and Business Process Automation (BPA), and now we have among us JJ Phillips from the exciting new world of Analytics Process Automation (APA). JJ is the Country Manager for Alteryx (NYSE:AYX) in Australia and New Zealand. Alteryx is a leader in the Analytics Process Automation (APA) platform and services. Headquartered in Irvine, California, the company has more than 1,519 associates and 400+ partners around the world promoting the use of advanced and augmented analytics to empower businesses and democratize data analytics. At Alteryx, JJ is responsible for driving and implementing the go-to-market strategy across Australia and New Zealand. He has grown the Alteryx office in Australia from one person to 30+ associates. He has been working in the field of technology and data science since the beginning of his career. Before joining Alteryx, JJ worked as a Practice Director for another self-service analytics platform providing company MIP and as a sales leader in ANZ for Tableau. In this exclusive episode, JJ covers many significant topics: Importance of having mentors in professional life and how to find and approach experts for becoming a mentee. Importance of customer-centricity and how the customer-first approach worked magic for Alteryx. Impact of Alteryx in business analytics with real-life examples. Why digital transformation fails for organisations and how to avoid this failure. What’s Analytics Process Automation (APA) and how it’s different from Robotic Process Automation (RPA) with some examples of the differences. Use of APA for unstructured data with real-life examples. What are the upskilling opportunities now available for data professionals? How the upskilling process for organisations should look like. The rise of citizen data scientists and the future of data professionals. Future of data science industry-wise and professionally. How businesses added 80 million to their bottom line and 1.5 billion to their growth using Alteryx. Importance of real-time data analytics and the impact of real-time decisioning. How should you structure your organization keeping the future in mind? If you want to learn more about how you can empower your business frontline to tap into the power of analytics and upskill your business team, this is the episode you should not miss. Also, share this episode with your colleagues and friends to help them future-proof their business and career! BusinessAnalytics, CustomerExperience, DataScience
February 28, 2021
E47 - Bryce Shepherd - Growth of Actuarial Science Through the Lens of Data Analytics
Bryce Shephard is the Head of Strategy, Life and Health APAC at PartneRe (NYSE: PRE-H), a global reinsurer providing multi-line reinsurance to insurance companies with a total capital of over $9 billion. His responsibilities include developing and growing PartnerRe in the Asia-Pacific region and researching and creating the market and client strategies aligning with the company’s risk tolerance and financial ambitions. He has been working in the field of pricing and product development for over 15 years specialising in the insurance industry. Starting as an Actuarial Analyst at Suncorp, Bryce has evolved through various business development, strategy, management roles across Australia, Europe, and Asia. He is also a Fellow of the Institute of Actuaries (FIA), the highest level of qualification attainable with the Institute and Faculty of Actuaries (IFoA). Bryce also has a passion for continuous learning and currently doing his master’s in business management with a thesis -- “An exploration of Organisational Effectiveness – A Life Insurance Industry Study”. Through his research, Bryce wants to shine a light on how Life (Re)Insurance organisations are influenced by innovation, culture, leadership, knowledge management, and distributed teams. Based on these research findings, he crafts ways to increase company effectiveness for the benefit of their employees, shareholders, and ultimately customers. He is also working on underwriting customer segments using alternative/proxy risk factors that eliminate the need for traditional risk scoring and lengthy statistical analysis. Also, it enables a simplified and seamless digital application process for insurance customers. In this exclusive episode, Bryce and Jason discuss: How actuaries have been using data analytics for centuries before data science became the sexiest job in the world. How professionals in the insurance industry can upskill into the field of emerging technologies like artificial intelligence and machine learning. Real-life applications of these technologies in the insurance and reinsurance industries. How insurers are using data analytics and techniques of data collection to better serve their customers. Role of the reinsurer in the insurance industry. How PartnerRe is developing digital technologies. Why and how the dynamics between insurer and reinsurer are blurring and changing due to the increased use of data technologies. Bryce also shares with us deeper details from his thesis findings on HR, people analytics, hiring, and team development. Evolution of the use of data in insurance – from static to dynamic underwriting. Place and advantage of being a reinsurer – global data availability, experience, and insights. What is pre-underwriting and how data analytics enables the practice of pre-underwriting. Also, how pre-underwriting benefits insurers and customers. If you want to know how data works in the insurer and reinsurer, this is the episode you should not miss. BusinessAnalytics, InsuranceAnalytics, ActuarialScience, CustomerExperience, DataScience
February 21, 2021
E46 - Brant Cooper - Applying Lean Methodology in Data Analytics
We have here among us at The Analytics Show, a New York Times best-selling author Brant Cooper. His most famous books are The Lean Entrepreneur and The Entrepreneur's Guide to Customer Development. Brant is all about disruption for the better through the effective utilization of business technologies. He trains thousands of entrepreneurs and corporate executives globally on new and advanced techniques of management, business development, product launch, and disruption. His next book, Disruption For All, is right now on Pre-Order. Brant blends agile, design thinking, and lean methodologies to ignite entrepreneurial action within organizations of all sizes. His mission is to teach leaders how to find personal and economic growth by creating new value for fellow humans. Brant’s professional experience in sales, management, marketing, and project management spans over two decades of a successful and illustrious career. His startup career includes Tumbleweed, Timestamp, WildPackets, inCode, and many others. He is also a renowned keynote speaker, business, and management trainer. He has founded his own company, Moves the Needle (MTN), in 2013. The company has been successfully helping many Fortune 500 clients to innovate and discover new product opportunities, develop existing products and processes, and drive business growth. MTN’s clients include Qualcomm, Intuit, Capital One, and Pitney Bowes, among others. In this exclusive episode, Brant discusses the following aspects surrounding lean methodologies and data and analytics: Role of data and analytic when it comes to lean methodology and ecosystem. How entrepreneurs and corporate entities can utilize data and different metrics while incorporating lean methodologies. How your data science team can be brought into the picture. Benefits of self-publishing books as an entrepreneur. Dynamics of exploration and uncertainty for startups and corporate innovators. The use of the 5Es – Empathy, Experiments, Evidence, Equilibrium & Ethics – from business to everyday life. How startups can maintain their ethics and primary objective of value creation for humanity as they surf the growth stages. The dangers of having silos and departments within an organization and why the organizational structure should be built around agility and customer journey. Using the learning impact metric framework for team building and product innovation. Tips and guidelines for managing cross-functional teams. Why internal startups and innovation labs don’t work and what organisations should do instead. If you are mid-level or senior manager managing teams, believe in agile methodology and lean methodology this episode you should not miss! BusinessAnalytics, Entrepreneurship, LeanMethodology, Innovation, DataScience, Agile, DataAnalytics
February 14, 2021
E45 - Rick Hall - Riding the Waves of Technology Changes Over the Decades
This episode is really special because we have with us Rick Hall, CEO of Aginity, who has almost four decades of experience in technology, business intelligence, and data science. He has taken over a dozen software products and two technology companies to a successful sale. After spending 20 years in technology services focused on business applications and analytics, Rick founded G4 Analytics in 2001. G4 Analytics was a software company focused on analytics for the consumer goods industry. The solutions focused on providing analytics support around sales, marketing, and supply chain. Rick moved to Nielsen after the company acquired G4 Analytics in 2013. Nielsen (NYSE: NLSN) is a global measurement and data analytics company that provides comprehensive and trusted insights and analysis into consumers and markets worldwide. At Nielsen, Rick led the Sales Effectiveness practices globally. Most recently in 2018, Rick co-founded Kairn Corporation that helps businesses plan and implement intelligent products and systems. As part of its investment plan, Kairn Corporation acquired Aginity in 2020. Since then, Rick has been performing as Aginity’s CEO to drive its transformation. Aginity is a software company that offers complete analytics management solutions. The company was named as the Most Trusted Big Data Technology Company by the CIO Techie magazine. In this exclusive interview, Rick offers us in-depth insights into many important aspects of data science and the industry. The differences and similarities between the BI adoption in 1980 and the data science adoption of today. How the landscape has changed from being centralized analytics to distributed analytics. Philosophy of building a successful software company and startup. How closing the gap between tech and non-tech workforce is essential to help organisations to fully utilise the power of analytics. Guidelines for young analytic professionals for career growth. Importance of learning the business as analytics professionals. Implementation of collaborative analytics where all the fronts of the business get to use the full power of analytics How agility is tackling the lack of data scientists in the industry by analytics process wizardisation. The full analytical lifecycle – ingest, cleanse, integrate, calculate, analyse, and provision -- for non-engineers. The secrets to building and getting into the market as a software company. The iterative approach to product development. If you are working in the analytics or the IT department -- a really important takeaway is how you can make it easier for your non-tech workforce to better use analytics to make decisions and solve problems. #BusinessAnalytics #DataScience #BusinessIntelligence #Entrepreneurship #CustomerExperience
February 07, 2021
E44 - Jonas Christensen - Here’s How Analytics Leaders Succeed in Growing the Business
Jonas Christensen is the Director of Analytics at Taylor Fry. He is passionate about helping businesses to grow with advanced analytics and data-driven decision making. Taylor Fry is an advanced analytics and actuarial consulting firm operating across private and government industries. The company helps the government, private businesses, and regulators use advanced analytics to better manage their financial health, customer engagement, pricing, and risk management. From a very young age, Jonas realised in him the energy towards innovation and constant improvement. As a professional, that’s what he has been doing for over 15 years with his skills and expertise in data analytics, artificial intelligence (AI), and machine learning (ML). He believes that these data technologies will be as revolutionary in the coming days as the personal computing revolution has been for the last 40 or so years. Before joining Taylor Fry, Jonas was the Head of Analytics at ME Bank. He was responsible for revenue growth, product performance, and customer experience by combining data analytics, finance, and marketing expertise. Apart from that, his experience ranges across the banking, finance, and corporate sector in various other high-level positions in different organisations. He is a former lecturer in finance at Deakin University. He also co-founded his company Bike Chaser, an online marketplace for bicycle products, in 2014. Jonas holds a Masters of International Finance and a Masters of Accounting from Deakin University as well as a Bachelor of Economics and Business Administration from Copenhagen Business School. In this exclusive episode, Jonas goes all-out into revealing all the secrets of successful digital transformation and implementation of corporate analytics. The interview starts with Jonas and Jason sharing their experience of building digital marketplaces for bicycle and accessories. Then it moves through all these and much more: Challenges and use of analytics in building digital marketplaces. Learning from the digital marketplace endeavours that are transferred into corporate projects. They also share a bit of all the wonders a cyclist gets out of the meditative experience of cycling.  The importance of learning to work with the algorithms upon which most of the digital marketing processes depend.  Using content marketing and putting human value into your business through storytelling.  How data and analytics should advance its position from advising the business to running the business.  How to start building the analytics platform as a traditional business.  How digital transformation relates to data-driven customer experience and both work together to strengthen the business bottom line.  Jonas shares with us his new and exciting theory of how a new technology must touch the executives and top leadership of an organization at first to truly get implemented in the business  Few tips for analytics professionals and consultants for growing their career.  Why analytics and corporate strategy should work in an integrated fashion and ultimately connect with improving the customer experience.  Some crucial project management and task prioritization tips and tricks for creating a distraction-free environment for your analytics team.  Last but not the least Jonas also gives us a sneak peek into his upcoming book Demystifying AI for the Enterprise.  You can surely see that you will miss a lot if you miss this episode. So, don’t miss it!  Also, share with your colleagues and friends who are into all things digital and analytics. #BusinessAnalytics #DataAnalytics #CustomerExperience #DataScience #Insurance
January 31, 2021
E43 - Jeromie Weatherburn - Data Science in Pricing to Manage Profitable Insurance Portfolios
Jeromie Weatherburn has a very unique career trajectory with an impressive set of skills and expertise. Starting as a financial planner, he soon became a trusted financial advisor and counsellor to clients and colleagues. As a financial planner, Jeromie’s achievements include $250,000 in life insurance premiums completed and $8million in wealth creation products placed. With this deep expertise in the financial services industry, he gradually moved into the insurance landscape and developed a passion for decision making and problem-solving using data and analytics.  Apart from that, he has been working in the insurance pricing roles from 2008. First as a Pricing Specialist at Australian Insurance Holdings and then as the Pricing Team Leader at IAG New Zealand. Currently, he is working as the pricing manager at Insurance Australia Limited (IAL), formerly Berkshire Hathaway Insurance Australia (BHIA).  IAL is an InsureTech and a part of the Insurance Australia Group (IAG) of companies, which is the largest general insurer in Australia and New Zealand. Last year, IAG insured over $2 trillion worth of assets, collected $11.4 billion in premiums and paid out almost $9 billion in claims.  IAL provides end-to-end personal lines of insurance products to the Australian market. At IAL, Jeromie plays a pivotal part in scaling-up the organization through thought leadership, relationship management, people and project management.  In this exclusive interview, Jeromie offers us deep insights and wisdom into the use of data and analytics in the insurance industry. How to get into insurance pricing if you're interested. Hint: programming languages A sneak peek into the practical experience in the grey world of real-life work with data analytics. History of IAL coming out of IAG. How insurance pricing and analysis work. How analytics translates into insurance pricing. How the premiums are priced. Use of the external data sets – real-life use case with examples. How there are new and exciting sources of data that you can access, such as satellite and aeroplane imagery. Why all business is a data business and success largely depends upon distilling what truly matters.  What’s the best insurance pricing software to use? What can a new start-up insurer, who has no data, do for price optimisation? Hint: Benchmarking. Also, how they can avoid getting into legal troubles. Changes in insurance pricing and data analytics tools and technologies over the years. Some of the ethical aspects of using data for insurance pricing analysis. How you can use the experience Jeromie gathered while working and growing IAL. So, all this really makes this episode another very exciting one for the insurance industry folks here! Don’t miss this one!  Also, share the episode with your friends and colleagues who are interested in insurance and data analytics.  #BusinessAnalytics #InsuranceAnalytics #DataScience
January 24, 2021
E42 - Dr. Philip Conway - Peril Pricing in Insurance & What Does It Mean for You
Dr Philip Conway offers the unique intersection of skills and expertise that make him perfect for the job of the Perils Pricing Manager at Insurance Australia Group Limited (IAG). He has a background in engineering with a PhD in hydrodynamic modelling along with extensive working experience in natural disaster control as a flood engineer. Prior to joining IAG, he was Flood Engineer and Design Engineer at WMAwater and Atkins respectively. He has also written and published multiple papers on related subject areas. His research topics include Australian flood risk to climate drivers and role of exposure, capital, and infrastructure in post-disaster recovery among others. IAG is Australia and New Zealand's largest general insurance company. The company has been helping people recover from natural disasters, accidents, and loss since 1851. They provide insurance services under many leading brands in Australia and New Zealand. They underwrite over $11 billion of premium per annum. Extending beyond paying claims, the organisation is increasing awareness of risk and helping communities reduce and prevent risk. At IAG, Philip leads a team for natural perils and reinsurance pricing engine development and advises c-suite executives on regulatory protection level requirements and group stress tests. He has also worked on numerous solution designs and developments related to address-level earthquake rates, benchmarking of vendor catastrophe models, deterministic volcano model, generating storm damage footprints, flood risk, and climate change. #BusinessAnalytics #CustomerExperience #DataScience
January 17, 2021
E41 - Tim Johnson - The Present and Future of Automation in the Insurance Industry
Tim Johnson is a veteran professional in the insurance industry. He has been working at Suncorp in various roles and scopes since 2005. He began his journey at Suncorp as a Manager Claims Design and now, multiple roles later, he is the Head of Automation. Suncorp Group Limited is a top 50 ASX-listed company with over 9.5 million customers and 13,000 employees. The Suncorp Group offers insurance, banking and wealth products and services through some of Australia and New Zealand’s most recognised financial brands. At Suncorp, Tim is one of the pioneers of the automation capability for Suncorp building the Insurance capability during his time leading the shared service operations team. He also performed as a CFO Insurance to support a leadership transition. Over the last decade of running Operations, Tim has led large on and offshore teams with the aim of driving improved customer experience and cost outcomes for Suncorp. Intelligent Automation was a logical next step to continue this push for faster, simpler delivery to Suncorp’s customers. Prior to joining Suncorp, Tim spent over 14 years as an Army Officer and a few years consulting across a wide variety of industries. In this exclusive interview, Tim Johnson shares with us about a lot of developments in the use of automation and AI in the insurance and financial industry. He also motivates the industry participants to come forward in the journey of implementing these emerging technologies in their business. Here are a few major aspects discussed: The potential of AI incubators in furthering the large-scale implementation of AI and automation throughout Australia. How the corporation and government can benefit from these incubators. Various examples and use-cases of intelligent automation in the insurance industry, such as zero-touch claims processing using IBM Watson and applying computer vision. The importance of taking a human-machine approach while designing and implementing AI solutions. The challenges Tim faced while using automation in insurance and how to overcome the challenges. How to combine analytics, automation, and AI to get the next stage of digital transformation. What should be the approach to incorporating AI and automation into your business and for finding the appropriate business cases to target? How all of this should be guided by a customer-centric approach and philosophy? Above all, what Tim wants us to know that starting on the journey of AI and automation doesn’t have to be expensive and time-consuming. You can start quickly with a minimum viable project and then scale-up from there. What really matters is to start! So, if you are thinking about using AI and automation for your business processes, especially in the insurance and the financial industry, this is the episode you should definitely lend an ear to! #BusinessAnalytics #Insurance #ArtificialIntelligence(AI) #Automation #CustomerExperience #DataScience
January 10, 2021
E40 - Steve Nouri - On Growth and Branding for AI Professionals
Steve Nouri is surely one of the prominent expert voices globally in the field of data science & AI. His passion for spreading knowledge as well as to add value to the community has automatically catapulted him as a trusted influencer within the industry. He has over 265K followers in LinkedIn alone. Currently, he is the Head of Data Science & AI at the Australian Computer Society (ACS) In this episode, Steve & Jason move away a bit from the regular industry discussion towards a more networking side of things for data science professionals. So, the scope & breadth of this episode are truly diverse: - Philosophy & principles of posting on LinkedIn. - Tips for data professionals & scientists on getting the most out of LinkedIn. - How to deal with the issues of stress, unease, & conflict related to using social media. - Why LinkedIn is still the best networking platform to get organic leads. - Few tips on fostering the mindset of being a life-long learner. - The role of the government in advancing AI adoption & innovation in Australia. Don’t miss this episode if you want to learn more about networking for data professionals. #DataScience #ArtificialIntelligence(AI) #BusinessAnalytics #MachineLearning(ML) #ProfessionalNetworking
December 20, 2020
E39 - David Philpot - How AI/ML Is Creating Brains for Trains
David Philpot has data science embedded throughout his life both professionally & personally. As data science manager at the TrainDNA project of Downer, he is currently working on keeping our trains in top-notch condition. TrainDNA can predict the likelihood of equipment failures months in advance. Downer is a leading integrated service provider in the civil engineering industry & an ASX 100 company. He is also running a side-project called Mapipedia, a robust visual analytics tool. In this episode, there’s so much to take in & realize. This is really an episode where you can learn a lot. Although from the face of it, the interview may sound very specific to trains, TrainDNA & maintaining the rolling stock assets, there’s wisdom to glean for every business that deals with industrial assets. David really digs deep & enlightens us exactly how the massive project runs. How the data is collected, who the stakeholders are & which party gets benefited in which way. From the discussion, you will also learn the things to consider for carrying out such platforms, being aware of the challenges & the potential savings that you can gain out of such initiative. #DataScience #ArtificialIntelligence #MachineLearning #BusinessAnalytics #CustomerExperience #PredictiveAnalytics
December 13, 2020
E38 - Jerry Abiog - Giving Power of Data Back to the Restaurant Owners
Jerry Abiog, the co-founder & CMO of a data-driven marketing company Standard Insights, is here with us for this episode of The Analytics Show. Standard Insights empowers businesses with data-driven omnichannel marketing campaigns with precise audience targeting. The company also has a separate solution to help the restaurant owners digitise their customer experience powered by a recommendation engine. In this episode, we get a lucid & practical understanding of how data-driven marketing can make wonders for a business. Some major elements of discussion are: How it’s all about taking the action with the data that you have collected. How Jerry & his team are using some innovative marketing tactics for promoting the use of their solution. Hint: stickers. The inner workings of personalisation & customisation in the recommendation engine & data-driven marketing. How the engine significantly increases the upselling and cross-selling of products. The role of text messaging platforms like WhatsApp to push highly targeted marketing communications at the right time. Success stories of how restaurants increase sales & revenue. #Business Analytics #Customer Experience #Data Science #Artificial Intelligence (AI) #RestaurantAnalytics
December 06, 2020
E37 - Tony Ashton - How People Analytics Solves Modern HR Problems
Tony Ashton surely is one of the most experienced leaders in the field of HR technology & people analytics product innovation. He is the Chief Product Officer at One Model, an HR analytics solutions provider. One Model offers a comprehensive data management platform & a complete suite of people analytics solutions directly from various HR technology platforms to measure all aspects of your employee lifecycle. Tony moved to One Model after gaining seventeen years of experience leading the people analytics product team at SAP SuccessFactors & Infohrm. In this episode, Tony offers us a deeper perspective beyond traditional analytics into how AI and ML are being used in people analytics. What is the difference or unique things in applying AI/ML for people analytics compared to other disciplines? He also shares with us some of the key challenges in applying people analytics in your organisation. Additionally, Tony explains how to get started & overcome these challenges. So, if you are in the fence on applying people analytics for your organization or are currently working on improving your workforce, this is the episode you shouldn’t miss for anything. #HRAnalytics #PeopleAnalytics #DataManagement #BusinessAnalytics #CustomerExperience #DataScience
November 29, 2020
E36 - David Azar - AI / ML Can Change the Way Real Estate Assets Are Managed
David Azar is the AI Innovation Manager of AdOPT AI, a revolutionary enterprise Artificial Intelligence solutions provider for commercial and industrial facilities specialising in real estate. AdOPT AI works as a centralized solution for all the problems that property owners and tenants can face. Most importantly, one of the major focuses is on environmental sustainability and cost-efficiency. In this episode, David opens up quite a few new perspectives as far as the technology is involved in reaching new levels of sustainability and profit optimisation for landlords. This really is a unique use case of data, artificial intelligence (AI), and machine learning (ML). We get to learn a lot about how we are collecting more data and using it in ways that were not possible in the past. David also shares with us how the benefits are three-pronged: energy saving, equipment sustainability, increased labour productivity. Most importantly, the impact on ROI starts to show within just two weeks to six months. So, this definitely is the episode you shouldn’t miss if you are into real estate in any shape or form. #ArtificialIntelligence #RealEstate #BusinessAnalytics #CustomerExperience #DataScience
November 22, 2020
E35 - Kate Carruthers - Why Data Governance Is the Cornerstone for Data and Analytics
Technologist, marketer, entrepreneur, educator, blogger, & many more. It’s Kate Carruthers we are talking about. The power woman who wears many powerful hats with ease & expertise. Kate is Chief Data & Insights Officer for UNSW Sydney & is also an Adjunct Senior Lecturer in the School of Computer Science & Engineering at the university. She has recently been named in the CDO Magazine’s 2020 List of Global Data Power Women & was included among the Global Top 100 Data Visionaries. In this episode, Kate sheds light on multiple important aspects related to data governance & adoption of technology in the higher education industry. - How the universities are adopting technological shifts to weather the impact of the pandemic - How the new technological adaptations are helping student experience & success - Is the data that’s coming in from the increased use of technology helping the process - The importance of data governance for any kind of organisation - 5 questions to ask yourself while building your data governance program - How students & professionals should prepare themselves for the future job market #Data #IoT #Business Analytics #CustomerExperience #DataScience
November 15, 2020
E34 - Greg Anderson - Forging B2B Marketing and Sales Success with Data
Greg Anderson is here with us from one of the leading frontiers of the world of marketing & sales - the intent-driven marketing. Greg is the Vice President of Sales (APAC) at TechTarget (Nasdaq: TTGT), the company that’s leading the global field of purchase intent-driven marketing. TechTarget offers a wide range of data-driven marketing & sales solutions for B2B enterprises. They have a network of 140 highly targeted technology-specific websites mining & driving real-time intent data & helping over 1,300 tech companies in over 200 target markets. In this episode, Greg delves really deep into the unique case of using purchase intent-driven marketing. Intent driven marketing has been around for B2C marketing for some time now but doing it for the B2B is very hard. Now, TechTarget has pulled this off. Here, you will learn all about how they are doing this difficult but ingenious task in detail. And, what’s in it for your business whether you are a large corporation or a small business. So, if you want to take your marketing initiative to the next level & get the most out of cutting edge marketing technology, this is the episode you shouldn’t miss. #BusinessAnalytics #CustomerExperience #Marketing #BusinessIntelligence #DataScience
November 08, 2020
E33 - Mark Monfort - Investing in Data Analytics to Compete with Blue-chip Companies
Mark Monfort is the Client Partner at Decision Inc., a global leader in information-driven transformation with a core focus on data. Mark is very passionate about helping businesses make better decisions with the help of data science. He has over 10 years of professional experience working with data. He is also leading the not for profit organisation Data Science and Ai Association of Australia | DSAi as a Co-Head. In this episode, Mark shares a lot on the ways to start & progress on the data journey specially for SMBs & midsized businesses: - Start small with a minimum viable project (MVP) & then gradually move ahead. - The formula is – MVP, reiterate & increment. - Starting with data doesn’t necessarily have to be costly. There are lots of free resources out there that you can utilize. - Mark also shares some of the strategies that you can adopt to start with the free resources. - How you should take help from consultants & experts. - What are the considerations that you should keep in mind while choosing a tech partner. - Some general guidelines & tips on building your data solutions. #BusinessAnalytics #DataScience #Finance #DataAnalytics #BusinessIntelligence #Investment
November 01, 2020
E32 - Sudhir Mishra - How Increased Banker Capability Is the Key to Delivering Customer Experience
Sudhir Mishra has been working in the banking industry since 2005. Now he is working as the Executive Manager at Westpac Group. At Westpac, Sudhir is leading a team of Senior Managers across program management, data analytics & change management to deliver digital business transformation. His operations range over 900+ branches covering all 4 Westpac Group brands & 10K+ bankers. In this episode, Sudhir shares with our audience: - How he & his team developed analytics tools helping bankers deliver better customer experience. - Why many digital transformation projects fail. Hint: being too ambitious. - Factors contributing to a successful digital transformation for any organisation. - Why you should always strive to be closer to the ground realities while implementing data solutions. - Lessons the financial services industry can learn from the tech companies. - Dynamics of the tech companies, like Google or Facebook, entering into the financial services. - Impacts of neo-banking organisations. - How to develop organisational culture where everybody feels safe & contributions are appreciated. #BusinessAnalytics #CustomerExperience #DataScience #Banking #DigitalTransformation
October 25, 2020
E31 - Alexis Fournier - Democratising Artificial Intelligence for Business Growth
Alexis Fournier is the Director of AI strategy at Dataiku, an AI & machine learning company. Dataiku provides a centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. The company has been named a Leader in the Gartner 2020 Magic Quadrant for data science & machine learning platforms. Before joining Dataiku, Alexis worked at SAP, a multinational software company with a revenue of 27.55 billion EUR. In this episode, Alexis steps into the hotspots of topics around AI/ML: - The process & benefits of democratizing data & AI technologies at your organisation - Why the focus should always be on the people instead of the product as it’s the people who build your company. - Democratizing AI means empowering all these people to grow & increase productivity. - Data applications are no more any particular industry-specific or process-specific You can use data & AI technologies almost everywhere. - On top of that, it brings home a huge amount of benefits for the businesses & organisations. - Things you should be aware of if you are still procrastinating about implementing AI use cases in your business #BusinessAnalytics #DataScience #ArtificialIntelligence #MachineLearning #DeepLearning
October 18, 2020
E30 - Ashish Saxena - The Play of Data and Analytics in Digital Transformation
What does digital transformation mean for your business? There’s so much to ponder about when we think of digital transformation for businesses. Let’s get into the crux of the matter with one of the leaders in the field of business transformation & data analytics - Ashish Saxena. With more than 20 years of experience, Ashish is currently working as the Principal of Digital Business at Cognizant, one of the most admired Fortune 500 companies. In this episode, Ashish shares with us a lot about digital transformation & some of the key lessons that he has learned over the years: - How to make the digital transformation successful - Why data has the most important role to play in the journey - How to keep your focus on the right kind of data - Why you should always start small with clear business use cases & how to tie the data to these business use cases - Why it is important to understand your customers & how to apply the human-centred design with your understanding of the customers - How this approach would be applicable to integrating the online & offline worlds - What the future looks like for the field of data science And much more! #DigitalTransformation #BusinessAnalytics #CustomerExperience #DataScience #Analytics
October 11, 2020
E29 - Leanne Pilkington - How Technology Has Changed the Way Real Estate Being Sold & Used
Leanne Pilkington is one of the most influential personalities of the Australian property industry. She has over 35 years of experience in all aspects of real estate. Currently, she is the Managing Director of Laing+Simmons, the leading boutique real estate franchise network in New South Wales. She is also the President of the Real Estate Institute of New South Wales (REINSW). Real estate is a $107 billion industry annually in NSW. In this episode, the conversation ranges across quite a broad spectrum of topics: What’s the state of women participation in business & what are the challenges they face? How the industry is adopting technology & the effects of Covid-19 What are the major types & sources of data that the community uses for business intelligence How individual buyers can access & use the data to make better buying decisions What are the challenges for creating a centralized shared database for the industry Challenges & shortcomings of the available CRM platforms for the industry The most important key takeaway for anyone is how Leanne is actually using the data to build her own audience & subsequently drive the business. #BusinessAnalytics #CustomerExperience #DataScience #RealEstate #BusinessIntelligence
October 04, 2020
E28 - Sanjit Dang - Investing in Artificial Intelligence for Tomorrow
Founder of U First Capital Sanjit Dang is here at The Analytics Show to share some really thought-provoking updates on the world of data and AI technologies and the overall state of the global technosphere. Sanjit, a former Director of Investment at Intel Capital, has been investing in Artificial Intelligence (AI) solutions since 2009. Intel Capital has invested more than US$12.4 billion in 1,554 companies in 57 countries. Some of the biggest takeaways from this episode are: - How you, as a fortune 500 or as a non-software company, should be tapping into the specialized analytics companies - How you should be tapping into the specialized smaller companies who can offer an analytics solution in your vertical. - How you could build your expertise & some of those data analytics or AI solutions in your organization & integrate them into your products and services. - Over the next 10, 20 or 30 years, the one who survives will be the one who can adapt to these emerging technologies. - The thinking behind these collaborations that you need to have. #BusinessAnalytics #DataScience #BigData #ArtificialIntelligence #MachineLearning #Investing #VentureCapital
September 27, 2020
E27 - Siew Teng Ho - Better Postal Performance with Data Analytics
With more than 14 years of experience in the field of data analytics, Siew Teng Ho, is here with us to share a lot of insights into some important yet intricate details of business intelligence implementation and automation. Siew is the Head of Performance & Insights at Australia Post, an enterprise of the Australian government business that provides postal services with a view to connecting businesses with consumers. Before her present role, she was the Manager of Robotics & Process Automation at Australia Post. In this episode, Siew shares with us a lot from her professional experience: - How she & Australia Post work with business intelligence, data analytics & robotic process automation (RPA) for constant growth. - What’s the self-evaluation approach that allows Siew & her team to always keep striving for continuous improvement. - How her academic background in engineering helps as the foundation to jump-start a career in data analytics. - How one can get into data science without having a background in computer sciences. - The importance of knowing your business situation, requirements & needs before investing in data technologies. #BusinessAnalytics #Automation #MachineLearning #PlanningAnalytics #CustomerExperience #DataScience
September 20, 2020
E26 - Wes Lambert - Modernising the Hospitality Industry in Adapting the Future
The hospitality industry of Australia generates $37 billion in retail turnover each year & creates over 450,000 employment opportunities. And it is one of the hardest-hit sectors by the global pandemic. In this situation, we have the opportunity to get a deeper look into the state of the industry with Wes Lambert, the CEO of Restaurant & Catering Industry Association (R&CA). R&CA is the peak body of the industry. In this episode, Wes shares with us how the industry is using technology, data, and analytics. Some important elements of the episode are: - How much did Covid-19 push up the restaurant’s revenue percentage from delivery apps? - Why are the behavioral changes of the consumers likely to stay? - What are the new technologies that are being used in the industry? - How are they balancing the different modes of consumption, i.e., dine-in, takeaway, etc.? - What should you do to stay relevant no matter how volatile the market is? Hint: You have to meet the customers where they are. - How the conflict of data-sharing by delivery app platforms with the restaurants can be solved? #BusinessAnalytics #CustomerExperience #DataScience #HospitalityIndustry
September 13, 2020
E25 - Linda Ginger - On Using Data Science to Engineer Winning Innovations
Can you predict which business idea will fail & which one may succeed? According to a global leader of strategic marketing, Linda Ginger, you can! Linda has been a successful market strategist & innovator for over 20 years. Currently, she is working on multiple high-impact projects, including her own company, Attractor, that helps businesses to grow & stay relevant. She is also an Advisory Board Member of Growth Science, the data science research firm that owns & operates MESE, a decision-making computing system for strategic planning & growth investing. In this episode, Linda touches on a lot of intriguing concepts & ideas: - How computer systems can predict the likelihood of a business failing - Real examples of the computer system called MESE in action - How the system not only predicts success or failure but also performs diagnostics to prescribe ways out of possible failures - What is the success rate of the predictions? - How to get access to this exclusive technology - How to innovate, grow, & stay relevant in the rapidly changing climate? Hint: There’s only one word that you have to know. #BusinessAnalytics #CustomerExperience #DataScience #MarketStrategy #Innovation
September 06, 2020