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Using Data and Analytics in Campus Decision Making
As demographic, economic and other forces converge on colleges and universities, institutional leaders face growing pressure to operate more effectively and, without sacrificing quality, efficiently. One path to doing so is by marshaling the vast reams of data that colleges collect about learning, enrollment, finances and other operations to help inform decisions, rather than relying on intuition and history. This webcast explores the possibilities of predictive analytics, machine learning and data-driven decision making – and some of the potential pitfalls as well.

Please join IHE editors Scott Jaschik and Doug Lederman on Tuesday, March 9th at 2:00 pm ET for a lively discussion of these topics.

This webcast was made possible in part by the financial support of AWS. I understand that by registering for this webcast, my registration information will be shared with Inside Higher Ed and the sponsor for marketing purposes.

Captioning for the deaf and hard of hearing is provided by CaptionAccess for all Inside Higher Ed webcasts. Transcripts available upon request.

Mar 9, 2021 02:00 PM in Eastern Time (US and Canada)

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Speakers

Scott Jaschik
Editor @Inside Higher Ed
Scott Jaschik, Editor, Inside Higher Ed, has been published in The New York Times, The Boston Globe, The Washington Post, and Salon. He is a member of the board of the Education Writers Association. From 1999-2003, Scott was editor of The Chronicle of Higher Education.
Doug Lederman
Editor @Inside Higher Ed
Doug Lederman, Editor, Inside Higher Ed, has been published in The New York Times, USA Today, the Nieman Foundation Journal, and The Christian Science Monitor. Doug was managing editor of The Chronicle from 1999-2003.