Meanwhile I am working as a data analyst for an industry company. One part of my job is to research production processes and reducing defects on the products to avoid them. Unfortunately during analysis with decision trees and logistic regression models a correlation very often is given, though a causality in many cases doesn't exist. And even if a causality exists, I have to consider the direction to avoid mistaking cause and impact. All these considerations are known under the term "Business Understanding". If you don't have the business understanding for your job, data mining and more simply analytics can get misleading very fast. Business Understanding an its spread Nearly every company that uses analytics and data mining has a strong concern in using the insights proper, because a wrong used information can cause bad consequences. This issue is that present in the heads of many managers, that they attach a lot of importance to business understanding. Th...
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