Why Your Analytics Stack should be Modular


Frequently when we're working with a new client at Fishtown Analytics, it can be a bit overwhelming the number of tools that are required to do sophisticated analytics: event collection, ETL, warehousing, transformation, BI... Some companies try to resolve this complexity by buying a single monolithic product that promises to do all, or a majority of, these tasks. This is a very bad idea.

This post by Roundup reader David Wallace talks about why the only good option when assembling your data stack is to go best-of-breed. If you're spending any time thinking about your analytics tech stack today, this is a must-read.


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