This doesn't even work in a lot of big companies. The "KPIs" many managers see reveal very little. They have often been massaged to present a rosier picture t

This doesn't even work in a lot of big companies. The "KPIs" many managers see reveal very little. They have often been massaged to present a rosier picture than the reality. Or they may present information that just isn't very actionable. This problem is due to poor data management by companies, specifically, the data often require human intervention to turn into summary statistics (e.g. KPIs). Anytime there is a human being touching data several potential problems arise: 1) unintended mistakes, e.g. misspellings 2) bias, for example truncating "outliers" that disagrees with your desired message 3) failure to explore messy data that may contain more powerful messages than the clean data 4) failure to link data in one function to data in another function (e.g. linking operations data with financial data)