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Case Study / Improving The Higher Education Enrollment Process

Improving The Higher Education Enrollment Process

EAB is using artificial intelligence to match students with the right institutions.

EAB’s Pipeline Analytics, a custom predictive analytics engine, helps education leaders identify enrollment risks and opportunities in real time. By applying artificial intelligence and machine learning to data from over a billion annual student interactions, Pipeline Analytics can help determine how likely individual students are to apply, accept and attend institutions.

Machine learning can make use of a school’s millions of student records in a cost-efficient way.

Lars Waldo, Principal Data Scientist, EAB

Details

Year of Investment: 2017
Portfolio Status: Current
Headquarters: Washington, D.C.
Website: eab.com

Best practices research, student success management software and data-enabled enrollment solutions for the higher education and K-12 markets.

EAB is the leading provider of best practices research, student success management software and data-enabled enrollment solutions to the not-for-profit higher education and K-12 markets. The Company’s solutions help institutions increase enrollment yield, balance financial aid with revenue generation, drive higher student retention and success, and implement industry best practices derived from benchmarking and research. EAB’s solutions are used by more than 1,100 higher education institutions, including 91 of the 100 U.S. News & World Report’s top universities, and nearly 100 K-12 institutions and districts.

EAB was founded in 2007 as a division of The Advisory Board Company and is headquartered in Washington, D.C.

Vista Equity Partners Fund VI acquired EAB from The Advisory Board Company in November 2017.

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