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Enrollment Management and Student Success

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Attract and Retain the Best Students

With SPSS predictive analytics, your institution can attract and enroll stronger applicants, as well as enhance the student experience by identifying ways to improve curricula, optimize resources, provide data-driven course guidance, and proactively extend help to at-risk students. Instead of merely reacting or making assumptions without supporting data, you can accurately predict the best course of action to benefit students, faculty and the entire academic organization.

Stronger recruitment

Focus your recruiting efforts on the right candidates with right messages at the right time. Spend your marketing dollars and recruiting resources more wisely by avoiding candidates who are unlikely to enroll or be a good fit for your institution. SPSS predictive analytics can help you maintain strong enrollment rates and improve your targeting and marketing to optimize your student mix.

Increase student success and retention

Detect patterns and trends in enrollment, retention, learning and engagement to identify and then intervene with at-risk students. Discover which types of intervention are most effective at retaining at-risk students, and for enhancing their academic performance. Predict which courses will attract more students or improve learning. SPSS predictive analytics can also help you determine the best course path for students based upon their aptitudes and interests.

SPSS Predictive Analytics Software

SPSS survey research tools give your institution the ability to proactively bring data about student, faculty, parent and other constituent attitudes and preferences into analytical decision making.

SPSS statistical tools help institutions to manage the analytical process—from planning to data management to analysis and sharing results.

SPSS data mining tools help colleges and universities gain insight into hidden patterns in institutional and student data in order to develop predictive models that aid schools in making informed decisions and taking action.

SPSS predictive applications help your campus to combine business rules with data mining insight about who is most likely to enroll, who is most likely to drop or stop out of the institution, to optimize your interaction with these prospects and students. Employing predictive analytics in this way can help schools to extend the right offer to the right student or prospect at the right time, in the right way.

For a comprehensive assessment of your enrollment management needs, contact an SPSS representative today.

What institutions are currently using predictive analytics for enrollment and student success?

Yuba Community College District - Using SPSS® data analysis software, Yuba Community College District can more easily match student capabilities with curriculum, thus improving student retention and graduation rates.

Cabrillo College - California-based Cabrillo College gains a deeper understanding of patterns in student behavior and can better design programs to meet student needs, thanks to data mining conducted with Clementine®.

University of Nevada - In this video case study, this institutional research office calls SPSS “the bread and butter of what we do.” Learn how University of Nevada is using SPSS to predict student retention and improve student success.

To learn more about how SPSS solutions can make your institution more effective in achieving its goals, contact your SPSS salesperson.