SPSS is the leading global provider of predictive analytics software and solutions. Since 1968, SPSS software has been used in higher education, at thousands of colleges and universities worldwide.

Predictive analytics software from SPSS Inc. provides the ability to capture new information about your applicants, students, faculty, alumni, donors, and other constituents and use that data, in combination with data you already have, to predict future events and proactively take action to increase institutional and student success. Using SPSS statistics, data collection, data/text mining, and deployment software, schools are able to optimize recruiting, identify at-risk students to increase retention, assess institutional effectiveness, and maximize campus resources.

With the software’s ability to automate data-driven decision making, you become more efficient at doing more with less, keeping the cost of higher education at a minimum. Additionally, the open architecture of SPSS Inc.’s software and solutions integrates with the technology infrastructure that you already have in place, allowing for rapid implementation and optimizing your institution’s data capital.

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With enrollments dropping off, student access adversely affected by the loan crisis, and greater calls for accountability and assurance of learning throughout a student’s tenure at an institution, is your office doing everything it can to help your campus maximize resources and make transparent, data-driven decisions to support institutional and student success?

Join Baruch College and SPSS Inc. for the upcoming webinar: “Data Mining to Drive Institutional and Student Success.” In this presentation, Jimmy Jung, Director of Enrollment Planning and Research at Baruch College, will showcase a number of data mining models implemented at Baruch to identify at-risk students, effectively award merit scholarships, determine course placements, and predict retention. Results and lessons learned from each model will be presented. In addition, improvement to the academic planning and enrollment management process will be discussed.

Attend and learn:

• How data mining can be applied in higher education to improve processes and reduce cost
• How to evaluate data mining results to determine which model to employ
• The benefits of data mining over other traditional techniques

Presenter(s):
Jimmy Jung,
Director of Enrollment Planning and Research
Baruch College, City University of New York