Building a Data Organization that works and works with business


One thing that caught my attention on Netflix’s Neil Hunt’s interview with Gigaom was this :

A Data Organization that works & works with business

Well said. That explains Netflix’s data Science in a nutshell that all Data Scientists should emulate !

From a Chief Data Scientist’s perspective, I really like their way of looking at Data Science viz:

  • The folks who do data Science for the whole business
  • The folks who build algorithms & 
  • The folks who do data engineering

In fact I had a blog on this specialization of Data Science skills

Netflix is putting more weight on actual behavior ! Interesting, we are also seeking similar effects ie differentiate between falling asleep on a couch vs. actually watching a TV show !  It is hard inference … Netflix has the blocker, I have nothing ;o(

Binge watching … interesting … We are actually working on algorithms to figure that out and change the ad mix. I plan to talk more at the TM Forum Digital Disruption Panel on December 9th !

bdtc-py-18-P76Finally, the fact that importance of Netflix recommendation engine is underrated is so true. In many ways the recommendation algorithms and engines are core to many systems.

In fact, we have a reverse recommendation strategy ! We recommend users to ads !

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One thought on “Building a Data Organization that works and works with business

  1. Pingback: The Curious Case of the Data Scientist Profession | My missives

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