The Science of Predictive Analytics in Education

Key innovations for improving student retention are being driven through predictive modeling. In this session, we will discuss how universities and colleges working with Dell developed student-retention models, KPIs, data dashboards, and mobile alerts that quickly identify at-risk students and deliver the information to key stakeholders, allowing early intervention to increase student performance outcomes.

OUTCOMES: Gain an understanding of modern predictive analytics capabilities * Learn best practices leveraging your current data and existing information architecture * Understand how advanced analytics is already helping forward-thinking universities gain better insight into the various factors that predict future student enrollment, retention and success