No data analytics professional comes into the office every morning and thinks, I’d like to spend a very long time producing nothing of value while costing my employer money. Despite best intentions, many data analytics projects fail or take much longer than expected to generate a positive outcome. There is no point blaming data engineers, data scientists, and data analysts. According to W. Edwards Deming, “every system is perfectly designed to get the results it gets” and “the system that people work in and the interaction with people may account for 90 or 95 percent of performance.”1
Unfortunately, ...
