ABSTRACT
People are the foundation of organizations. For companies remain competitive, they need to develop and maintain their human resources. Professionals of the area, must rely on data to make their decisions, otherwise, it can generate bad decisions, taken only by intuition or experience. In this context, this project aimed to help the future decision making process made by human resource specialists of a People Management Software Company using the KDD process to generate new knowledge. In the data mining stage were used The Decision Tree, Neural Network, APRIORI and K-Means algorithms, generating patterns to be analysed with human resource specialists. Preliminary results demonstrate that it is possible to observe standards that classify employees as highly engaged, engaged, neutral and disengaged.