Predictive Analytics in Higher Education

Abstract: Higher education institutions have multiple technologic subsystems for administrative, pedagogical management, and quality purposes, which gather an immense volume of data from various sources and which do not analyzed. The domain of the analytic performances in education emerges from the need to aggregate multiple sources of data, which the selected information will make it possible to understand reality and optimize management actions. Using predictive analytics has several key benefits, including better future business performance, more insight into business dynamics, and optimum use of available data. Higher education has access to realms of data which can be used to improve decision making.

Keywords: Predictive Analytics, Higher Education, Business Dynamics, Decision Making.