Scaling Data Science at Pfizer: Chris Kakkanatt, EGG Guest Speaker

organization| scale| data science | | Lynn Heidmann

One of the biggest challenges large enterprises face today is how to scale data science efforts such that the business actually gets an exponential amount of value from the exponential quantity of data they’re amassing. At Pfizer, the story is no different; take it from Chris Kakkanatt, Data Science Team Leader, who was able to orchestrate the organizational and cultural changes necessary to connect technologies and people around the world at scale.

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Dataiku hosted the inaugural EGG conference in November 2017 in New York City where Chris and others provided a practical look at what it takes to transform organizations around analytics (plus tactical takeaways and next steps for how to get there). Over the coming weeks, we’ll be doing a deep dive into or recap on some of the talks and topics for those who weren’t able to attend. (By the way, you can sign up to receive info on EGG2018 here to make sure you don’t miss out on any of the action.)

Watch Chris’s talk here:

 

 

If you're ready for more inspiration for scaling a data team in a large enterprise, check out some of our other fantastic speakers at EGG2017, including Walid Mehanna on Bringing Value from Data at Daimler.

SEE HOW DAIMLER USES DATA 

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