What are the worst KPIs for data analytics teams?

LeadershipData & Analytics
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President & Chief Data Officer in Services (non-Government)2 years ago

KPIs should be tied to business outcomes and should therefore have some sort of linkage to cost reductions (e.g., efficiencies through automation or more accurate supply plans to reduce waste) or incremental revenue (e.g, customer acquisition, cross-selling, increasing LTV). With that said, KPIs that are not able to be logically linked in some way to business outcomes are not good. Also, KPIs may need to be dynamic in nature, so only having static KPIs could be problematic. 

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VP of Product Management2 years ago

When a team of data technologists are expected by the business to "validate the correctness" of the data.  The data team then feels pressured to make assumptions and compare measures that may not be relevant to the actual business need.

Director of Engineering2 years ago

The ones that are not useful. This which do not generate trust

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