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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
At The Analytics Show, we always try to introduce our listeners to as many new use cases of data & analytics as possible.
In this vein, we have an ardent researcher Fahd Saghir with us to explore the world of energy & resources industry.
How data science is being used there?
Fahd is the Digital Solutions Manager at Schneider Electric, a global specialist in energy management & automation with operations in more than 100 countries. The company had a revenue of 27.2 billion EUR in 2019.
Fahd has over 15 years of experience in developing digital solutions for the industry. He is also pursuing a PhD degree.
In this episode, Fahd & Jason Tan discuss the use of data science, edge analytics, & other latest technological advancements in the oil & gas industry with super lucid terms & examples.
Most importantly, you get a crystal clear view of how your industry can utilise these highly influential technologies.
Fahd also shares about the industrial internet of things (IIOT) & how coupled with edge analytics it’s revolutionizing the upstream oil & gas industry.
So, don’t miss this episode if you want to know about some cutting edge technologies!
#MachineLearning #DataAnalytics #ArtificialIntelligence #IoT #DataScience #OilandGas
Nick Rameka, CMO of the fastest-growing tech company in Australia - LiveTiles, is here at The Analytics Show.
LiveTiles is a global software company providing solutions to build intelligent workplaces through AI, analytics & UI design. As of 2018, it has raised more than A$50 million in total funding. It is also a publicly-traded company at the Australian Securities Exchange (ASX).
In this episode, Nick shares with us some of his marketing principles & how they use data to inform the marketing strategy & product innovation at LiveTiles.
Some of the topics discussed are:
- LiveTiles’ journey up to 10 million users across the globe
- Things to know about digitising the workforce & how to avoid wrong turns
- Secrets of developing a super cool company culture
- How to manage & keep track of large teams working from home
- Using company intranets for effective people analytics & management
- Why you should be making your business KPIs available to your employees
- Utilising PESTLE analysis to be in sync with the greater global forces at play
This is the episode you don’t want to miss to understand how you can use data & analytics to improve your workforce
#WorkplaceAnalytics #Productivity #BusinessAnalytics #CustomerExperience #DataScience
If your data is not of good quality, will the decisions you make work?
Scott Taylor has some illuminating thoughts to share on this at The Analytics Show.
Scott, the Data Whisperer, is an expert in the field of master data & master data management (MDM).
He has been working on it for 22 years. He is on top of the Thought Leaders on Big Data list by Thinkers360. He is also the founder & Principal Consultant at MetaMeta Consulting.
In this episode, Scott shares the importance of data management & governance for deriving actual meaning out of messy & unstructured data.
As the quality of your data will determine how precise your decisioning will be, data management and business intelligence go hand-in-hand for business security and growth.
Here comes the storytelling aspect as you will also need to convince your business leaders & stakeholders about data management.
So, we will learn from Scott about the three Vs of data storytelling & a practical method of crafting an enterprise data story focusing only on 10 words.
The strategies & methods Scott is sharing with us come from his decades of experience. Don’t miss his invaluable advice!
#MasterData #MasterDataManagement #BusinessAnalytics #CustomerExperience #DataScience #DataAnalytics
Are you making the most out of your contact centre data?
Before the dissatisfied customers contribute to the lower P&L and CLTV, wouldn’t it be better to look into the dissatisfactions your customers have?
Max Ball, Director - Product Marketing at RingCentral, is here with all the answers.
RingCentral, Inc. (NYSE: RNG) is a global provider of unified communications & cloud collaboration solutions for businesses across industry verticals. The company has a revenue of $903 million USD (2019) with around 5,000+ employees. Max is responsible for positioning all contact centre & customer experience offerings.
The points discussed in this episode include:
- How to go beyond just operational reporting with contact centre data to improve the customer journey.
- Why only the larger companies get the most out of contact centre data
- What enablers you can use for your contact centre data
- The role of messaging apps in the contact or call centres
- Dangers of using emerging tech, i.e. bots and AI, & how to avoid the dangers
- The model for the perfect bot-human integration at the contact centres
Want to improve your customers’ experience? Don’t miss this out!
#data #analytics #customerexperience #dda
Are you a passionate leader who wants to harness the power of technology & culture?
Give an ear to mesmerizing business leader & author Adam Mendler.
Adam is the CEO & Co-Founder of The Veloz Group that manages a portfolio of wholly-owned & operated ventures across varied industries.
He is also an experienced interviewer & podcast host. He has interviewed more than 300 leaders & famous personalities from every walks of life.
He also frequently writes on leadership, business, & entrepreneurship on Forbes, Inc. Magazine & HuffPost.
In this episode, Adam shares a lot about leadership & culture.
All the lessons from his own experience as well as from the business leaders he interviewed in the United States.
A few important topics of discussion were:
Core principles of effective leadership that apply across verticals & careers.
Applying those principles to build a data-driven culture.
Why leadership is all about your people.
What matters most & why while building a culture.
Importance of having an appreciation for data at the basis of your business.
Things businesses should be aware of before jumping into the AI bandwagon.
#leadership #business #culture #dda
How can you increase cultural engagement and employee happiness by up to 30%?
How about using technology as a framework to guide the continuous conversation with your teams and employees, as well as building the right culture?
Yes, companies have done that and reaped enormous benefits!
Let’s get things into perspective with the founder and CEO of intelliHR, Rob Bromage.
intelliHR is a listed technology business on the Australian Securities Exchange (ASX), providing a next-generation cloud-based people management platform to businesses worldwide.
Rob believes that the traditional HR roles and functions are not enough to drive a company transformation to a truly customer-centric high-performing business. This is exactly where data comes into play.
The essence of this episode is how to capture the right data to start looking at the sentiment analysis to understand the people’s happiness within the organization.
Once you figure out all these things, you will then be able to know how to improve the people's performance using analytics.
The end result of that is business performance improvement. Tune in now!
#hranalytics #data #analytics #dda
What makes your employees perform at their fullest?
What motivates them to come to work every day with joy and passion?
Here are the answers to all these questions from Michael Patron, the General Manager of Reward and Performance at Tabcorp, a world-class diversified gambling entertainment group with more than 5,000 employees.
Michael has been working in the field of HR management and operations for over 20 years.
In this episode, he discusses all the possible angles of utilising the powerful tools of people analytics.
Running and managing client-facing distributed teams with the help of data.
Why people leaders are increasingly relying on data analytics for insights and decisioning.
The impact of self-service analytics and the criteria for choosing an analytics vendor - @One Model
30% of time-saving for managers or people leaders in accessing info and making people decisions
Key metrics to look out for while setting up people analytics strategy.
Proper philosophy behind recruitment.
How to integrate everyday values with culture and use analytics to make it consistent.
Final actionable steps to implement people analytics in your organization.
Don’t miss out!
#peopleanalytics #data #analytics #dda
How far are we from getting something like Data from Star Trek or J.A.R.V.I.S. of Iron Man?
Let’s get answers from Michael Heller, CDAO & Chief Data Scientist of IBM’s Westpac Integrated Account.
Michael is a visionary data scientist with more than 14 years of experience in the field of data science, beginning with quantitative finance and eventually finding his way to cognitive computing.
Prior to joining IBM, he served as the Head of Data Science Innovation & Research at PNC, an American bank holding company and financial services corporation.
In this episode, Michael traverses both the practical and philosophical aspects of data science.
He explains in very clear terms and with real-life examples:
The practicality of cognitive enterprise transformation.
Its difference from the more prevalent digital enterprise transformation.
How to get to that cognitive enterprise by rethinking the way we do things.
Some real pearls of wisdom for struggling entrepreneurs.
What it really takes to do data science effectively in the world of business.
Why a vast majority of businesses are not doing it the right way!
Hit play and listen till the end!
#analytics #cognitive #AI #dda
How is the world going to pay in future?
Can you use your face as a payment method?
If you want to get an insider view of the world of fintech, you must listen to the CEO of GHL Group of Companies, Danny Leong.
GHL is listed on the Main Board of Kuala Lumpur Stock Exchange with annual revenue of RM 350 million. The company equips businesses with end-to-end payment services & leads the cashless revolution in the ASEAN region. Being in 7 countries including Australia, GHL processes over RM1 billion in transaction value per month.
In this episode, Danny covers a lot of grounds including:
How GHL is enabling merchants to access cashless payments in the easiest way possible.
GHL has already become the largest non-bank payment acquirer with 370 thousand acceptance points over 100 payment schemes and channels.
How GHL took the initiative to educate the merchants of all tiers to accept this technology.
The future of payment dynamics in the different parts of the world.
Using data & business analytics to innovate new services & grow business.
How Danny handles the challenges of becoming a data-driven organization.
Hit the play button right now!
#fintech #data #businessanalytics #dda
Do you often wonder about the power of data and analytics for your business?
Listen to our podcast episode featuring Pedro Uria-Recio, Group Head of Analytics at Axiata Group Berhad, to get answers to some of your crucial business problems.
Pedro is an executive marketing professional with over 15 years of global experience in data-driven marketing, digital businesses, and analytics.
Pedro is currently looking after data analytics operations and quantitative marketing for the telecom giant operating in 10 countries with 320 million subscribers.
This episode really touches a lot of bases, including:
How you can build the centre of excellence across distributed teams.
The hub and spoke methodology that implements centralised learning and a distributed execution. Don’t miss how he explains this with a wonderful analogy of self-driving cars!
Strategies for creating new revenue streams for your business using data and analytics.
Pedro also provides a real-life example of credit scoring as a service from telcos.
Quite a few solid tips on fostering a data-driven culture in your organisation.
The list goes on!
#data #analytics #businessanalytics #dda
How data and analytics can help solve regional problems and foster local development?
Tom Verhelst, Program Director of the Regional Innovation Data Lab (RIDL) at Griffith University, says that it is by taking a holistic view of the locality through effective place-based analytics.
Tom has made his presence felt across the humanitarian use of data science.
Before joining Griffith University, Tom was the Associate Director R&D IT at UCB, which is among the top 30 global pharmaceutical companies, and Project Manager Professional Services, Informatics at PerkinElmer, a Fortune 500 company.
In this episode, he gives a detailed view of how all that took place in terms of using data analytics, AI, and machine learning.
Tom talks about why it is necessary to look deeply into the data sets of local metrics and the whole socio-cultural structure to solve regional problems specific to regional councils.
He also explains why we need to create a safe space where businesses, government bodies, and other entities can share data to aggregate, anonymise, and use to drive regional public growth.
More links about the guest
LinkedIn Profile URL:
In the News:
How is data science shaping higher education to be more effective and provide better students experience?
In this episode, we will learn all about student analytics and how it has impacted the universities from one of the leaders in the field, Richard Sanchez.
Richard is the Head of Student Reporting and Analytics at the University of New South Wales with an inherent passion for research, data analytics, and technology-led solutions.
Student Reporting and Analytics aims to leverage data and analytics to build capability across the university and explore ways to improve the academic processes and student outcomes.
In this episode, Richard shares with us all that is going on in the space of student analytics at the universities of the world. The challenges of working in an emerging field and forging a new path of data and analytics.
He also tells us about the philosophy behind a successful data operation that is the people-centric view of things and a data-driven culture.
Listen to the podcast for deeper illuminations!
More links about the guest:
LinkedIn Profile URL:
What is one book that you would gift to your younger self and why this book?
The Subtle Art of Not Giving a F*ck by Mark Manson
Are you up for some amazing deep dive into the present and future of data science, machine learning, and AI?
We are going to get exactly that from Felix Liao, the Head of AI/ML and Analytics Platform for SAS Australia/New Zealand.
SAS is a global leader in business analytics software and services, and one of the largest vendors in the data science and business intelligence market. Felix has been working with SAS for over 10 years.
In this episode, Felix reveals some very insightful aspects and use cases of data science and AI/ML.
One such valuable topic that Felix shares is The Holy Trinity approach to utilizing data and analytics for businesses.
He also updates about the progress of the Industry 4.0 in relation to the use of AI/ML, how the enterprise intelligence decisioning drives consistency across the organisation, why it is crucial to avoid biases and have some guard rules, and how Auto ML can help businesses deal with the skills shortage.
Moreover, he provides strategies, tools, and techniques to use for upskilling your staff to fill in the data science roles.
Tune in to the podcast to learn all this and much more!
More links about the guest:
LinkedIn Profile URL: https://www.linkedin.com/in/felixliao/
What is one book that you would gift to your younger self and why this book?
The 7 Habits of Highly Effective People by Stephen Covey
Are you struggling to work from home during this Coronavirus pandemic?
Learn how automation can help speed up the process and make it easier for organisations to get things done from Eric Nguyen.
Eric has over 15 years of experience in the fields of automation, data, and customer experience with a successful track record with companies of the likes of Telstra and Datacom. He is currently working as the Robotics and Automation Lead at Datacom, one of the leading IT services companies in the Asia Pacific region.
His vision is to help businesses get the most out of the ongoing revolution of RPA and business analytics.
In the episode, we get to learn from him how:
Businesses can save money as well as make money with RPA.
Automation opens up endless possibilities and frees up time for employees to engage in creative thought processes and value-added service creation.
You can start RPA and get benefitted right away leveraging whatever you have.
Data and analytics actually function hand in hand to increase efficiency of both disciplines.
Eric also shares with us some very insightful true stories.
Listen to the podcast for all this and much more!
LinkedIn Profile URL: https://www.linkedin.com/in/eric-nguyen-6b57b717
What is one book that you would gift to your younger self and why this book?
How to Win Friends & Influence People by Dale Carnegie
Sexy Little Numbers by Dimitri Maex
Links to His Organisations:
How data science is helping all of your favorite movies to reach you in the cinemas?
Matthew Liebmann is here with the answers. With over 25 years of experience in the entertainment and media sector, he knows the ins and outs of the industry.
He is currently the COO and the Global President of Movio, the global leader in marketing data analytics for the film industry.
Movio uses anonymised data of 39+ million moviegoers for targeted campaign solutions helping cinema exhibitors and film studios.
In this episode, Matthew goes really deep into the cutting-edge advancements in the field.
Weaving the online and offline data -- loyalty programmes, subscriptions, purchase information, time and frequency, and many other details -- for the betterment of moviegoers, filmmakers, and exhibitors alike.
Why Netflix is buying cinemas and in which direction the streaming services are headed. How cinema has been competing, innovating, and thriving still.
How the rise of so many streaming services is going to create problems for the consumers and how the local content can survive in the age of streaming disruption.
And, much more!
LinkedIn Profile URL: linkedin.com/in/matthewliebmann/
What is one book that you would gift to your younger self and why this book?
Creating Magic by Lee Cockerell
In the News:
How to create a personalised brand experience that lets you retain and repeat customers?
Hear it out from one of the brilliant minds in the field of customer experience Peter Gurrie himself.
With almost two decades of experience in the field of data-driven customer experience, Peter Gurrie has enough stories to share on the subject to mesmerise anyone.
Whether you are a CEO of a multinational company or running a small business in the neighbourhood, Peter shares the strategies for all.
Peter is the Experience Services Director at the IVE Group, Australia's leading holistic marketing company that generates revenues over $700m and employs over 1,800 staff.
Learn from him what customer experience really is and how to understand the customer’s perspective through the lenses of artistic inquiry and criticism.
What you should definitely not miss listening to is the idea of creating the futuristic omnichannel marketing infrastructure and personalised customer experience using all the latest advancements in the field of customer analytics, email marketing, and offline and online channels.
More links about the guest
What is one book that you would gift to your younger self and why this book?
E.W. Cole - Chasing the Rainbow by Lisa Lang
Brave New World by Aldous Huxley
Links to His Organisation:
News about the guest and organisation:
Want to know about the data and analytics revolution in ASEAN?
Let’s hear it from Sharala Axryd, a thought leader in the data science space, who is transforming the picture of data science in Asia and all over the world.
Her passion coupled with extensive expertise has made her a highly sought after speaker.
She is the Founder and CEO of The Center of Applied Data Science (CADS) which is ASEAN’s first and only one-stop platform and center of excellence for Data Science.
Based in Malaysia, CADS integrates 21st century data skilled talent within the academia and the businesses of the ASEAN region for the betterment of both.
Previously, Sharala operated as the CEO of ASEAN Data Analytics Exchange (ADAX), a Malaysian government initiative to turn Malaysia into a global hub for big data analytics solutions and innovations.
In this episode, Sharala talks about how she overcame the challenges of introducing data and analytics into the industries and academia of the ASEAN region.
She also tells us why the best way for a holistic integration of data and analytics into any organisation is through in-house upskilling, how analytics can help businesses to stay relevant, and much more.
What is one book that you would gift it to your younger self and why this book?
The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture by Scott Belsky
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Lectures and Articles:
In The News:
How would you use data and analytics to solve everyday problems like creating better customer experience at the airport?
Let’s hear it from Luke Halliday!
Luke Halliday is a dedicated problem solver with a driven passion to transform technology explicitly into tangible business values.
Most recently, he has been doing it for the Australian airport industry as the CIO of Australia Pacific Airport Corporation, the operator of Melbourne and Launceston Airports.
In his early 20’s he co-founded an IT services business that went on to be listed twice in the top 10 fastest growing IT service businesses in Australia - Mercury IT.
This talented man has won several awards such as a Technology Innovator, Owner Manager of the Year, Entrepreneur of the Year finalist, and 30 Under 30 Entrepreneur for his brilliance.
In this episode, Luke shares with us the challenges he overcame to achieve the technological transformation in Melbourne Airport and how data analytics was the biggest part of the job.
He also sheds light on the best strategy for a data infrastructure for any kind of business and discusses the enormous use of enterprise data platforms and predictive analysis.
And, much more!
LinkedIn Profile: https://www.linkedin.com/in/luke-halliday
Mercury IT: https://www.mercuryit.com.au
Melbourne Airport: https://www.melbourneairport.com.au
One book that he would gift it to his younger self:
Zen and the Art of Motorcycle Maintenance - https://www.goodreads.com/book/show/629.Zen_and_the_Art_of_Motorcycle_Maintenance
Licenses & Certifications:
Cisco Sales Expert, Issuing authority Cisco
Certified Executive Coach, Issuing authority NS-NLP, Power + Training
Microsoft Certified Systems Engineer (MCSE), Issuing authority Australian College of IT
Learn more about Luke from the news:
Don’t you just love it when you have a conversation with someone and feel a million times smarter afterwards? When someone gives so much insight it makes a lot of things clearer, in business and in life?
Today’s guest is Prashant Natarajan, who defies all categories, as you cannot put him in a box and say “he’s just that and nothing else”.
Prashant is a technology and product executive with expertise in data, analytics and machine including financial services, healthcare, government, and manufacturing.
But...he’s also much more than that: first of all, he’s a very intelligent guy with many years of experience, working with major companies. And also a best-selling author. However, what I like most about him is how he sees and approaches every-days things and life in general. His insight into how important it is to have the right people by your side, both at work and at home - proves that success rarely happens only in one area in life.
No matter what he talks about: data and analytics, the role of AI in today’s world, his relationship with colleagues or how much it’s important to have the right partner by your side, Prashant is a joy to listen and learn from.
LinkedIn Profile: https://www.linkedin.com/in/natarpr/
To learn more about Prashant:
Demystifying Big Data and Machine Learning for Healthcare, by Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz
Implementing Business Intelligence in Your Healthcare Organization, by Cynthia McKinney, MBA, FHIMSS, PMP, Ray Hess, RRT
Chapter 11: Communicating through Robust Reporting
Prashant Natarajan on Google Scholar
What exactly is Precision Medicine? Prashant Natarajan https://open.spotify.com/show/2EuZcjSyN3bQzH4QjIDR54
Healthcare IT Today - https://www.healthcareittoday.com/tag/prashant-natarajan/
Dr. Alex Antic is a trusted and experienced Data Science leader.
He has a proven record of delivering innovative, successful and sustainable projects in government, industry and startups (including Sports Analytics), that leverage data and Machine Learning/Deep Learning capabilities to deliver actionable insights.
In this episode of The Analytics Show, he will discuss about the uses of Confidential Computing and Natural Language Processing, and we discussed how that could be important in order to convince the public moving to the cloud.
I also asked Dr. Antic about his experiences in working with different groups of analytics professionals and further seek to understand his mission to train the next generation of data scientists at Australia National University.
With a unique background and professional experiences, Dr. Antic brings a fresh perspective in helping to bring the PhD students in analytics and industry closer through a pragmatic approach at ANU.
If you are looking to build up analytics capabilities and wanting to learn how to build up team, this is one episode not to miss.
LinkedIn Profile URL: linkedin.com/in/alexantic
Blog Site: https://impartiallyderivative.com/
Official Site: https://cecs.anu.edu.au/people/alex-antic
Human Services Australia: https://www.humanservices.gov.au/
Meetups that Alex runs:
Alex's blogs that you should read
10 hidden challenges of working as a Data Scientist, and how to overcome them to advance your career
7 questions you need to ask before taking on a Data Science role.
In this interview, we will have Eric Axelrod sharing his experience and knowledge with us about deploying analytics in the cloud and how he is planning to change the future of web conference.
Eric is the founder for DIGR and Cloud Data Summit and he is based in USA.
Drawing from his extensive consulting experience in USA, he will talk about what he observes about the trend of moving the analytics and data warehouse to the cloud.
One of the many take away from this interview for our listener would be:
Through the cloud, all the small and medium enterprise now can actually possibly build up the same analytics capabilities like the Fortune 500.
Eric will also talk about how he plans to change the future of conference by shifting it to the web.
The video below is a sneak peak of the interview, which Eric discussed about the Turn Key supply chain analytics platform.
If you are a small/medium sized business and once your operation is mature, would you dare to dream to build up analytics capability that could rival the large enterprise?
LinkedIn Profile: www.linkedin.com/in/ericaxelrod
Where you can also find Eric:
Places where Eric goes for new knowledge
CB Insights -
CIO Magazine -
Salesman Podcast -
Very often, what takes the headline these days are how AI will change our world, whilst these capture attentions, we should not forget about what need to go behind the scene to support AI, data, and business analytics.
To support a data driven organisation with strong application of business analytics (incl. AI), you need get the fundamental foundation and enterprise architecture right.
Andrew Swindell is a TOGAF qualified Enterprise Information Architect and with over 20 years’ experience in the field of information technology and enterprise architecture.
In this podcast episode, Andrew will share with us the importance of informationarchitecture , the opportunities it presents and the value generated from focusing on your data assets.
In particular, we will learn how data and analytics are applied in the energy business, that's often asset heavy. Andrew explored how analytics could be used in asset management for an organisation.
Good to Great: Why Some Companies Make the Leap and Others Don't, by Jim Collins.
LinkedIn Profile: https://www.linkedin.com/in/andrewswindell/
Published papers & past presentation:
Want to become a certified enterprise architect like Andrew?
You can find out more about TOGAF Certification: http://www.togaf.info/togaf9/index.html
Ever curious how the analytics and datasciences are applied in the Australian government agencies?
We are in an absolute treat on this. I had a privilege of interviewing Dr. Warwick Graco to understand the use of data sciences in government.
Dr Graco is a senior director in data science at Australian Taxation Office.
He previously worked for what is now called ‘Medicare Australia’ and was manager of a team that built machine-learning and multivariate statistical models to help identify fraud and abuse within Medicare and Pharmaceutical Benefit schemes.
During his career, he has also worked in Australian Defence Force as an army officer and served in a variety postings including time spent assisting with development and delivery of command support systems .
Over the years, he has published a number of papers and other publications involving topics such as defence, strategy and analytics. Below is a small clip from the interview, where we get to learn about the special task forces in tackling the blackeconomy using data & analytics.
Current Favorite book:
The Second Machine Age Work, Progress, and Prosperity in a Time of Brilliant Technologies, by Erik Brynjolfsson and Andrew McAfee.
LinkedIn Profile: https://www.linkedin.com/in/warwick-graco-4a27044/
An Application of Time-Changing Feature Selection
YouTube Video: Data Mining in Public Sector
A former CIO & CTO, Damian Morris has 25 years’ experience negotiating, developing & delivering mission-critical #technology systems into the road #infrastructure, finance, software & gaming & wagering industries.
Damian’s career spans commercial, project & program delivery & governance, information technology implementation, people & management, corporate & strategy roles.
In this episode of The Analytics Show, Damian & I discuss the challenges of delivering system engineering & system integration projects into large infrastructure programs, & talk about the role & future of Intelligent Transport Systems (ITS) & Connected & #Automated Vehicles (CAV) in Australia & around the world.
Both of these are enabled by numerous technologies that are undergoing rapid development, & are built on a backbone of pervasive, commodity sensors, communications & data processing infrastructure.
Tune in & listen to the expert on how to:
navigating in the landscape of involving IT system, legal & road network system
how ITS is keeping our roads safe & efficient
how Corperative ITS work hand-in-hand with CAV
what role will 5G play
technical clearing house in managing tolls payment
& many more
Favorite book is The Lord of the Rings.
LinkedIn Profile: https://www.linkedin.com/in/damian-morris/
Twitter Profile: https://twitter.com/drdm
A short trailer of what the podcast - Data and Analytics in Business, is about. Over the coming months, we will interview the industry leaders and expert how they drive their business with data and analytics.