Description: The main product of a Data mining process is the discovery of rules.
This will show us new relationships between variables or exceptions to already established ones. This will enrich the analysis and description of the model and it will help on planning and designing changes.

Some discovered rules may not be changed, but it's possible to make appropriate modification in the organization in order to improve the its performance.

Prediction: Once important rules governing the system are discovered, they may be use to a better forecasting of some output variables. They may be used in predicting time sequence variables, or it may help in identifying and avoiding a
future bad credit experience.

In this task, techniques coming from the artificial Intelligence complement statistical analysis. Adaptive concepts like Genetic Algorithms and Neural networks, make more accurate predictors, specially in cases with great complexity
and non-linear internal relationships.