What do you think? Here's my answer: There are two types of "inaccuracy":  Inaccuracy In the data itself: if the data is 80% accurate, a 100% accurate model is waste of resources. Inaccurate data is often referred to as dirty data. Of course, bad database models (DB architecture based on the wrong metrics, missing the great metrics) is a major issue.  If the predictive model that you use is 80%…