Why We Measure the Wrong Things and Often Miss the Metrics That Matter
(I know it's just a catchy title but I feel bad for the data, the data didn't do anything! People used data poorly!) Anyway, read further for a number of interesting examples for how metrics can used and incentivized poorly and produce outcomes that don't fit with what we were hoping for. It's a data analytics version of “don't mistake the map for the territory” when complex or challenging systems are simplified to their detriment.