Roles and Responsibilities of a Successful Analytics Team

A couple things not mentioned which can bog a team down if not addressed are data cleaning, statistical significance and quality, quick reporting, and thorough understanding of the data and its pitfalls.

Data cleaning is often a huge process and often needs large chunks of dedicated time. Statistical checks can make sure results are significant and no errors such as bias in the data cause problems. In reporting it shouod be quick and to the point, no need for fancy dashboards and such, those just take away more time from necessary things like cleaning and answering more questions. Understanding the data is crucial, knowing the databases and any weird gotchas can make or break an analysis.

Snazzy!

I love it when the Keen peeps put out this type of content. Makes it easy to start a convo in house by passing a link + starting a conversation.

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