The objective of this project is to achieve a large scientific analysis of a dataset by means of both data mining, machine learning and data analysis techniques.

The Groupama company (an insurance company) wants to make a study about the satisfaction of its customers and the effect of its actions on the satisfaction of the customers. The main objective is to find how to improve the customer satisfaction and the income of the company. There are two kind of customers: person and others (other companies, associations etc.). Each customer may have several insurance contracts with the Groupama company. The company store several information about the customers (age, category, category of home area,...). It also stores the customers requests and complaints. In reaction to these requests and complaints, the company can take actions or give the customer an advantage (price reduction for instance).