Data mining is an integral part of coding programs with the information, statistics, and data necessary for AI to create a solution:

In the traditional reporting model, the data source is retrospective, and looks back to examine the exposure of the existing information.

However, in the case of data mining, as the name implies, the same data source is described. This method summarizes the raw data, and makes it something that is interpretable by humans. They are analytics that describe the past. The past refers to any point of time when an event has occurred, whether it was one minute or one year ago. Descriptive analytics are useful, because they allow us to learn from past behaviors, and to understand how they might influence future outcomes.