A decisional tool for quality improvement in higher education

In the actual economical context, characterized by the competition pressures, the use of decisional tools become a valuable advantage to make the difference. The concepts of data warehouse, multidimensional model and data mining, are essentials in the design and the deployment of such tools. In this paper we describe the design and implementation of a decisional tool, dedicated to a no lucrative goal institution. Our case study is a university that hopes to improve the quality of his service, by analyzing the pedagogical results, to discover the success and failure factors, and attempt to increase success chances of students. In this perspective we use OLAP (Online Analytical Process) and association rules discovery techniques.