Improving Student Graduation Rates Using Data Insights and Predictive Modeling

As part of an overall plan to improve student graduation rates, Harper College and Dell developed a student retention model that quickly identifies at-risk students and delivers the information to key stakeholders, allowing early intervention to increase student success. We will discuss the scope of the project and research methodology, as well as the data used to solve Harper's student retention issues.

OUTCOMES: Develop a framework for KPI and the desired outcomes you want to achieve * Recognize that you should start with the data you have and build * Discover that building a predictive model is an ongoing, dynamic process