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Data Chatter
Karthik Shashidhar
20 episodes
1 day ago
Welcome to Season Two of Data Chatter. The podcast is hosted by Karthik Shashidhar, cofounder and CEO of Babbage Insight. Apart from this, he is a blogger, newspaper columnist, book author and a former data and strategy consultant. In this season, Karthik Shashidhar talks to business leaders about all things data - how they get insight from data, their frustrations with data teams, what they expect, and how they imagine AI to transform the data insight space. You can follow him on twitter at @karthiks, and check out his company at babbageinsight.com
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Management
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All content for Data Chatter is the property of Karthik Shashidhar and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome to Season Two of Data Chatter. The podcast is hosted by Karthik Shashidhar, cofounder and CEO of Babbage Insight. Apart from this, he is a blogger, newspaper columnist, book author and a former data and strategy consultant. In this season, Karthik Shashidhar talks to business leaders about all things data - how they get insight from data, their frustrations with data teams, what they expect, and how they imagine AI to transform the data insight space. You can follow him on twitter at @karthiks, and check out his company at babbageinsight.com
Show more...
Management
Business
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9. Making Data Science Work
Data Chatter
49 minutes 27 seconds
4 years ago
9. Making Data Science Work

Everyone wants to do “data science”. Companies want to introduce “machine learning” in their products. Most fund raises by startups nowadays are accompanied by a statement of intent to invest in data, and data science.

Back in 2006, mathematician Clive Humby, who was working for Tesco, made the statement that “data is the new oil” (to give context, we were in the middle of a massive bull run in oil prices then). And so companies are investing in data.

However, just investing in data capture and hiring data scientists is not enough for a company to get value. It is important to structure the relationship between data and business, and how the data team is managed, in the right way for the data team to be effective.

Today’s guest is Anuj Krishna. Over the last 14 years, Anuj has worked with multiple enterprises on both, the translation side as well as the execution side of analytics. He has helped create standard processes for analytical problem solving that are in use in multiple enterprises.

Anuj was an early employee of MuSigma, and then went on to co-found TheMathCompany. In his current role, Anuj is Head of Assets at TheMathCompany, and is also responsible for operations related to TheMathCompany.

Show Notes:

00:03:00: How business and data science currrently interact

00:06:30: Translating from analytics to business

00:13:00: Structuring a data science team

00:22:00: Data science versus business intelligence

00:29:00: How can a business person get best value out of a data team?

00:32:00: Why data science projects fail

00:38:30: Evolution of the data science industry over the last decade

Links:

Anuj Krishna

TheMathCompany (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

Data Chatter
Welcome to Season Two of Data Chatter. The podcast is hosted by Karthik Shashidhar, cofounder and CEO of Babbage Insight. Apart from this, he is a blogger, newspaper columnist, book author and a former data and strategy consultant. In this season, Karthik Shashidhar talks to business leaders about all things data - how they get insight from data, their frustrations with data teams, what they expect, and how they imagine AI to transform the data insight space. You can follow him on twitter at @karthiks, and check out his company at babbageinsight.com