One of the most important problems which is facing our country about education, it is regarding the high indicators of students dropout in universities. According to the sources of the Ministry of National Education, almost fifty percent of the students who enter to university don’t manage to finish their studies. In this study, it is showing the SARA project (Accompaniment System for the Academic Performance), this project was created by the computer science and system engineering program at the Quindio University as well as a proposal to include the process called KDD (Knowledge Discovery in Databases) to support the data analysis, therefore, strategies are defined in order to help to intervene in the academic life of students throughout the use of data mining techniques to identify patterns which allow to profile or predict different cases of dropout inside of the program.