Have you ever designed a new performance measure - a powerful one you felt excited about - and then discovered the data you needed was not in the right format or detail? Of course you have! It's a common challenge when you decide to measure something more deliberately or more meaningfully than you have in the past. But don't let the data problems put an end to your powerful new measure!

by Michel Dekker, Nova Silva

Enrico Bertini explains in his recipe¹ that studying plays an important role in becoming a Data Visualization expert. However, he also emphasizes it is just the beginning. This was probably the reason why Ben de Jong approached me a year ago to help him improve data visualizations at the bank he works for.

Weasel words are the enemy of measurability. When a goal is written with them - agile, benefits, capacity, diversity, efficiency, fit for purpose, holistic, livability, productivity, sustainability, and so on - that goal is impossible to meaningfully measure. But yet there is often resistance to removing those weasel words.

Management guru Peter Drucker is quoted over and again for his message that the key to strategy is omission. Good strategy is ruthlessly about what not to do, than it is about what to do. The same goes for KPIs. We must be ruthless about what to measure.