The Research Aims: Syrian organizations keep large amounts of information and data about their personnel in their IT systems. This information, however, is often left unutilized or may be analyzed through statistical methods. In this study, DM is considered a solution for analyzing HR data and explore knowledge from data stored in some Syrian organization through two major stages: Stage A: Using results of Semi-Annual performance evaluation process to build prototype showed in (Fig. 6) to accomplish two tasks: 1. Building a models to predict appropriate job function for an employee through majority principle and using high accuracy result to increase the number of training data and make it self-learning model. 2. Choose most important attributes that used in classify methods to use it in personnel selection and recruitment. Stage B: Using data of Time & Attendance to analysis personnel activity through clustering methods and building many meaningful groups.