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Data Chatter

Data Chatter

By Karthik Shashidhar
Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase".

The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.

You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
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7. From Random Walks to Random Forests: Analytics and data science on Wall Street
One of the first industries to extensively use advanced maths to do better was financial services. Ever since Fischer Black and Myron Scholes published their seminal paper on option pricing in 1973, Wall Street firms hired mathematicians and scientists by the droves, getting them to model asset prices in order to get an edge in the market. Even today, top hedge funds such as Renaissance, Citadel and Two Sigma prefer to hire scientists rather than finance professionals to manage their portfolios. However, in the last decade or so, as Data Science and Artificial Intelligence have taken over the rest of the world, Wall Street has not maintained its leadership position in the use of maths to make money. How and why did this happen? In order to understand this, we talk to Hari Balaji, co-founder of Romulus, an award winning unstructured data automation platform for Financial Services firms. Prior to founding Romulus, Hari spent a decade in quant & data roles at Goldman Sachs across Hong Kong and Singapore. Hari is an alumnus of IIT Madras & IIM Ahmedabad. Show Notes 00:03:15 - What is data science and what is artificial intelligence? 00:10:40 - What Hari’s company does 00:14:00 - Toolbox versus hammer-nail approaches 00:15:00 - This history of math in the financial services industry 00:28:45 - Wall Street is never a first mover but a great follower 00:33:30 - How Wall Street uses data science nowadays 00:41:00 - Why most innovations have happened at smaller firms 00:44:00 - Why the financial industry doesn’t behave like the Tech world Romulus on Twitter Romulus on LinkedIn Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
49:00
August 2, 2021
6. Manhattans and Moneyball to Kabaddi: How analytics evolves with sports
For a lot of people, their first introduction to data and analytics happens through sport. Fans have tracked batting and bowling averages for many decades now. In the 1990s, with the coming of satellite TV in India, cricket fans had their first brush with bar graphs and line graphs, with “manhattans” and “worms” respectively. In the last two decades, following the publication of Michael Lewis’s Moneyball, the field of sports analytics hsa exploded. A couple of months before this podcast was released, it was revealed that footballer Kevin De Bruyne had hired a sports analytics firm in order to better negotiate his contract with Manchester City. And along the way, analytics has entered smaller sports such as kabaddi and volleyball. Today’s conversation is a double header, featuring the husband-wife duo of Arvind Sivdas and Dhanya P, who are also founders of KabaddiAdda, a Kabaddi platform. They have worked in analytics in cricket, badminton, volleyball and kabaddi, among other sports. We talk about the evolution of sports analytics, how to quantify “continuous sports”, the role of fantasy sport and several other things. Show Notes 00:02:50 - How they got into sports analytics 00:13:00 -  The popularity of “matchups” in sports nowadays 00:20:00 - How Roger Federer used analytics to transform his game 00:25:00 - Why performance analytics has limited impact in (association) football 00:30:30 - The importance of buy-in from the management, and evaluating success 00:32:45 - How Kabaddi has evolved in the last few years 00:37:15 - The parallels between Kabaddi and Basketball 00:46:00 - Analytics in Kabaddi 00:47:00 - Data collection for sports like Kabaddi 00:49:40 - Biomechanics studies in Kabaddi 00:51:30 - How to fund analytics in smaller sports? 00:55:10 - The role of betting and fantasy in developing analytics 00:59:20 - “Moneyball” - where is it being underused, where is it being overused etc. 01:01:00 - Convincing CSK that cricketers peak in their 30s Pradeep Narwal's 8 point raid On how CSK won IPL 2018 with "dad's army" Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
01:08:13
July 26, 2021
5. Conjoints and Coupons: The evolution of quantitative marketing
In business schools in India, there is a misconception that marketing is not quantitative, and that it is for the more “creative” people. However, if you look at its history, marketing has always been a highly quantitative subject. To know more about data and quant in marketing, we talk to Prithwiraj Mukherjee, an assistant professor of marketing at IIM Bangalore. Prithwiraj teaches marketing management and marketing research at the MBA and doctoral levels. His MOOC titled Quantitative Marketing Research is available on EdX and Swayam. He research interests include behavioral decision making where he models biases, and digital marketing where he investigates influencer fraud and clickbait. Prithwiraj has a PhD in marketing from ESSEC in Paris, and degrees in chemical engineering from NITK Surathkal and IISc He can be found on twitter at @peeleraja Show Notes: 00:03:40 - Introduction on numbers in marketing 00:08:45 - Customised direct mail coupons 00:15:30 - Why do students in business school think marketing is a “soft subject”? 00:22:00 - Conjoint analysis 00:29:00 - Moving from sample data to population data 00:31:20 - Modelling customer loyalty 00:40:00 - Why has digital marketing evolved disjoint from marketing? 00:43:45 - What Facebook knows about you that Google doesn’t 00:45:00 - How has AI / ML / Big Data changed marketing? Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
51:05
July 19, 2021
4. Itihaasa (history) of Analytics in India
Analytics and Data Science have become mainstream career choices for graduating students in India nowadays. Analytics companies are nowadays among the largest recruiters at engineering colleges. How did we get here? How did data and analytics become so big, and so mainstream in India? In order to understand this, we need to understand the full history of analytics in India, and this is a story that goes back over a hundred years. Today’s guest is N Dayasindhu, co-founder and CEO of itihaasa Research and Digital. For the past two decades, he has been working on R&D and innovation management especially focused on IT. He is working on the evolution of business and technology focused on IT and related domains in the Indian context. In an earlier avatar, he was a consultant advising MNCs setting up high-performance R&D and IT organizations in India. He was also a researcher in the R&D arm at Infosys and holds a couple of US patents. His research is published in Technology Forecasting and Social Change, Technovation, ACM SIGMIS, etc. He occasionally writes in The Indian Express, The Hindu,The Economic Times, The Hindu Business Line, Founding Fuel, etc. He has guest lectured in the IIMs, the Wharton School at UPenn, NUS Singapore, etc. He has an FPM (PhD) from IIM Bangalore, M.Sc. in Physics from IIT Madras and a B.Sc. in Physics from Loyola College, Chennai. Show Notes: 00:03:20 - PC Mahalanobis returns to India (1910s) 00:12:30 - Using analytics for engineering problems at IISc (1950s) https://ece.iisc.ac.in/index.php/about-us/history 00:23:00 - Analytics in the industry in India (1960s) 00:33:00 - Big tech coming into India (1980s) 00:35:30 - GE sets up captive in India (1990s) 00:39:45 - Analytics services startups; IT firms get into analytics (ealrly 2000s) 00:49:30 - Analytics training institutes in India (2010s) 00:52:00 - How to characterise analytics professionals in India Links Dayasindhu on Twitter Dayasindhu’s interview with L^2, the alumni magazine of IIM Bangalore ---------- Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
56:44
July 12, 2021
3. Make BI Great Again
“Business intelligence” has become a rather unfashionable term in the world of data and analytics. From generating buisness insights from intelligent use of data, it has largely devolved to become a software engineering function - to connect databases to front end tools. However, there is far more to business intelligence than just writing queries. In this episode, Karthik talks to another BI professional - Balaji Kuppuswamy, director of BI products at Youtube. They talk about what BI really is, the skills involved in BI, where it sits in an organisation, and how it can truly add value. Show Notes: 00:03:30 -  What is the definition of Business Intelligence? 00:07:20 - BI’s marketing and branding problem 00:12:50 - The role of science in BI 00:15:20 - Interactive dashboards 00:19:00 - What’s it like being a data scientist in BI? 00:27:30 - How Balaji got into BI 00:32:00 - Using BI tools 00:36:00 - Integrating intelligence into BI tools 00:39:00 - Building up a BI team. 00:48:00 - Agile in BI Links: Kaiser Fung’s article on BI and data science Avinash Kaushik on “datapukes" Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
55:42
July 5, 2021
2. The Big Deal about Big Data
Around a decade ago, “big data” became fashionable. There were lots of jokes and memes created around “big data”. Everyone wanted to do big data. Now, in 2021, the hype around big data may have died down, but how to roganise and store data remains an important problem for organistions to solve. Today’s guest is Rangarajan Vasudevan, founder and CEO of TheDataTeam, which builds AI solutions for customer intelligence. We talk about the history of big data, what companies look for when they want to organise their data, technolgies and all such. Show Notes: 00:03:00 -  What is Big Data? 00:10:10 -  Why do we need to store data? 00:14:00 -  Principles of data architecture 00:20:00 -  How does data evolve as companies evolve? 00:24:30 -  Data warehouse and data lake and data marts and other jargons 00:34:00 -  How to avoid silos, and whether to centralise data engineering, analytics, etc. 00:42:40 -  More on Hadoop 00:50:30 -  How should a startup architect its data team (no pun intended)? Ranga on Twitter TheDataTeam  Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
55:56
June 29, 2021
1. Excel-lent Graphics
When we read or talk about “data science”, most of the talk is around modelling - the maths behind it, the “cool” modelling techniques, what kind of CPUs or GPUs are required, and all that. What we normally talk less about is how data science interacts with business. In this inaugural episode of Data Chatter, I talk to S Anand, co-founder and CEO of Gramener, about this so-called “interaction layer”. Our conversation is almost completely focussed on two such interfaces - Microsoft Excel, and data visualisation. We talk about various aspects of what it takes to communicate data to business, and pros and cons of different tools. Anand is a co-founder of Gramener, a data science company. He leads a team that automates insights from data and narrates these as visual data stories. He is recognized as one of India's top 10 data scientists, and is a regular TEDx speaker. Show Notes: 00:03:40 -  On how Anand was “always a data guy” 00:12:01 -  Anand’s first tryst automated infographics 00:15:30 -  What visualisations work best for whom? 00:22:00 -  Visual Basic and Python 00:27:15 -  “Gymnastics in Excel” 00:32:00 -  Creating choropleths using Excel 00:41:20 -  Google Sheets 00:45:30 -  Business Intelligence Tools, such as Tableau, Power BI, etc. 00:52:09 -  Pie charts Links: Gramener: https://gramener.com Anand’s website: http://www.s-anand.net Tufte’s seminal book: https://www.edwardtufte.com/tufte/books_vdqi Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
57:34
June 22, 2021
0. Trailer
This is the trailer of "data chatter", a new podcast on all things data.  Data Chatter is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.  You can follow him on twitter at @karthiks
02:20
June 14, 2021