Data-Informed vs Data-Driven, Part 3: What Maps Leave Out

Every dataset is a map, which means it shows a territory in simplified form and leaves things out, and both of those are the point rather than the flaw. The first two parts dealt with structures and metrics , meaning with questions that arise before the analysis. This one starts later. Assume the organization works, the metrics are cleanly defined and the numbers are computed correctly. Wrong…