Data Chatter artwork

9. Making Data Science Work

Data Chatter

English - August 16, 2021 17:30 - 49 minutes - 113 MB - ★★★★★ - 1 rating
Management Business Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed


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

Twitter Mentions