How data-informed decision making can make colleges and
universities more effective institutions. The continuing importance
of data analytics is not lost on higher education leaders, who face
a multitude of challenges, including increasing operating costs,
dwindling state support, limits to tuition increases, and increased
competition from the for-profit sector. To navigate these
challenges, savvy leaders must leverage data to make sound
decisions. In Big Data on Campus, leading data analytics experts
and higher ed leaders show the role that analytics can play in the
better administration of colleges and universities. Aimed at senior
administrative leaders, practitioners of institutional research,
technology professionals, and graduate students in higher
education, the book opens with a conceptual discussion of the roles
that data analytics can play in higher education administration.
Subsequent chapters address recent developments in technology, the
rapid accumulation of data assets, organizational maturity in
building analytical capabilities, and methodological advancements
in developing predictive and prescriptive analytics. Each chapter
includes a literature review of the research and application of
analytics developments in their respective functional areas, a
discussion of industry trends, examples of the application of data
analytics in their decision process, and other related issues that
readers may wish to consider in their own organizational
environment to find opportunities for building robust data
analytics capabilities. Using a series of focused discussions and
case studies, Big Data on Campus helps readers understand how
analytics can support major organizational functions in higher
education, including admission decisions, retention and enrollment
management, student life and engagement, academic and career
advising, student learning and assessment, and academic program
planning. The final section of the book addresses major issues and
human factors involved in using analytics to support decision
making; the ethical, cultural, and managerial implications of its
use; the role of university leaders in promoting analytics in
decision making; and the need for a strong campus community to
embrace the analytics revolution. Contributors: Rana Glasgal, J.
Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya
Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie
Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N.
Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy
Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K.
Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou
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