Organizing Data Teams — Where to Make The Cut

towardsdatascience.com

There are four ways to decentralize and structure data teams. Learn how to choose the right one.

This is, IMO, one of the most useful articles to come out on the organization of data teams in a while. I had the opportunity to give feedback to the author before it was released; here's a snippet of what I said:

 It's funny, we often talk about centralized vs decentralized, but we don't say decentralized what and centralized what. Your article makes it clear that you can leave certain parts centralized and other parts decentralized. Therein lie the interesting questions.

I don't want to say a lot more here because I'd prefer you just read the post; it's great. At Fishtown Analytics we're driving towards the "centralized analytics engineering" model—mostly, but not completely, decentralized.

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