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Autor/inn/enLarkan-Skinner, Kara; Shedd, Jessica M.
TitelReal-Time Data and Predictive Analytics: Where Does IR Fit?
QuelleIn: New Directions for Institutional Research, (2020) 185-186, S.11-24 (14 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0271-0579
DOI10.1002/ir.20326
SchlagwörterData; Data Analysis; Prediction; Data Use; Decision Making; Institutional Research; Departments; Leadership; Higher Education; Organizational Culture; Organizational Change
AbstractAs institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time strategic decision-making, institutions must advance beyond traditional static data reporting offices to modern offices with regular predictive analytics use. The authors believe that institutional research offices should actively engage in contemporary analytical approaches and provide leadership in this area. The following chapter focuses on (a) why higher education should embrace analytics, (b) discusses areas where analytical advancements have occurred, (c) discusses areas where analytical growth is lacking, and (d) provides guidance on addressing cultural changes concerning institutional data use, policies, and practices. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2022/1/01
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