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Success Leaves Clues: Predictive Modeling in Higher Education

In This Issue

Reviewing Your Data: What You Might Find
Data-Informed Recruitment and Enrollment
A Data-Informed Approach to Student Retention
Mining Your Data: From Students to Alumni

 

Letter from Amit Mrig, President, Academic Impressions

Given increasing competition, shifts in student enrollment, and reduced resource levels, it’s critical that colleges and universities recruit and retain the students who are most likely to succeed at their institutions.

By reviewing data on current and past students and alumni, and engaging in predictive modeling, you can identify not only the factors that impede desired outcomes such as yield, student retention, and alumni engagement and giving rates, but also the positive factors that contribute to those outcomes.

In this edition, we have turned to institutional researchers, enrollment managers, and advancement professionals to highlight examples of predictive indicators and data-informed tactics for enrolling and supporting the right students and helping them transition into engaged, committed alumni. We hope their advice will be helpful.

JOIN THE CONTRIBUTORS FOR A Q&A PANEL

We invite you to join us for a free webcast and ask our expert panel your most pressing questions about mining your student and alumni data to determine factors that can help predict student success.

DATA-DRIVEN RECRUITMENT STRATEGY INSTITUTE

Is your cost per lead or cost per enrollment continuing to rise? Tomorrow’s admissions leaders must learn to use data to help shape smarter, more cost-effective recruitment strategies.

Join us in St. Louis, MO from January 23 - 25, 2013 and learn how to identify and attract the students that have the best chance of enrolling and graduating.

 

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