Big Data on Campus  Data Analytics and Decision Making in Higher Education / 
edited by Karen L. Webber and Henry Y. Zheng. 
 - Baltimore :  Johns Hopkins University Press,  (c)2020. Baltimore, Md. :  Project MUSE,  0000. 
 - 1 online resource (pages cm) 
<br/><br/>Includes bibliographies and index. 
<br/><br/>Data analytics and the imperatives for data-informed decision-making in higher education /  Big data and the transformation of decision-making in higher education /  Predictive analytics and its uses in higher education /  Limitations in data analytics : potential misuse and misunderstanding in data reports and visualizations /  Guiding your organization's data strategy : the roles of university senior leaders and trustees in strategic analytics /  Data governance, data stewardship and the building of an analytics organizational culture /  Data analytics and decision-making in admissions and enrollment management /  Predictive analytics, academic advising, early alerts, and student success /  Constituent relationship management and student engagement lifecycle /  Learning analytics for learning assessment : complexities in efficacy, implementation, and broad use /  Using data analytics to support institutional financial and operational efficiency /  Data-informed decision-making and the pursuit of analytics maturity in higher education /  Karen L. Webber and Henry Zheng --  Braden Hosch --  Henry Zheng and Ying Zhou --  Karen L. Webber and Jillian Morn --  Gail Marsh and Rachit Thariani --  Rana Glasgal and Valentina Nestor --  Tom Gutman and Brian P. Hinote --  Timothy M. Renick --  Cathy O'Bryan, Chris Tompkins, and Carrie Hancock Marcinkevage --  Carrie Klein, Jaime Lester, Huzefa Rangwala, and Aditya Johri --  Lindsay K. Wayt, Susan M. Menditto, J. Michael Gower, and Charles Tegen --  Karen L. Webber and Henry Y. Zheng. 
<br/><br/> "This edited collection by leading data scientists and higher ed leaders explains what data analytics can contribute to improving the administration of colleges and universities. The book includes several case studies of effective data analytics as applied to the areas of admissions, enrollment and retention, student life and engagement, academic advising, and learning assessment"-- 
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<br/><br/><label>ISBN: </label>9781421439044 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Universities and colleges--Administration--Data processing.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic Books.
<br/><br/><label>LC Class. No.: </label>LB2341  / .B543 2020