Incorporating Predictive Analytics into a Student Success Strategy

Date of broadcast: Thu, 05/10/18

Predictive analytics can serve as the foundation of student success efforts. By drawing together data from disparate campus sources and systems, predictive analytics software can enable institutional leaders to predict the likelihood of student attrition, identify at-risk students, and match them with the right resources that can help them succeed.

Attend this web seminar to learn more about incorporating predictive analytics into your student success strategy. We’ll be joined by the Director of Institutional Research and Effectiveness at Bellarmine University in Louisville, Kentucky, which is using predictive modeling software in innovative ways to connect the IR department with the Student Success Center, to better focus outreach efforts on those students who need it the most. Our speakers will discuss Bellarmine’s strategy, and provide tips and advice on how to do the same at your institution.

Scheduled speakers:
Drew Thiemann
Director of Institutional Research & Effectiveness
Bellarmine University

Kristen Wallitsch
Associate Dean of Academic Support
Student Success Center
Bellarmine University

Jon MacMillan
Senior Data Analyst
Rapid Insight

Who will benefit: Higher ed leaders interested in data analytics or student success. Anyone may attend.