2018
DOI: 10.1080/00091383.2018.1483174
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The Analytics Revolution in Higher Education

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Cited by 27 publications
(27 citation statements)
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“…As other campus departments (e.g., enrollment management, student services, etc.) are developing their own analytical capacity, IR offices expect to support other departments and lead institutional analyses (Gagliardi, ). These circumstances call for the importance of facilitation skills; this article presented a four‐quadrant framework to facilitate data‐decision dynamics.…”
Section: Resultsmentioning
confidence: 99%
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“…As other campus departments (e.g., enrollment management, student services, etc.) are developing their own analytical capacity, IR offices expect to support other departments and lead institutional analyses (Gagliardi, ). These circumstances call for the importance of facilitation skills; this article presented a four‐quadrant framework to facilitate data‐decision dynamics.…”
Section: Resultsmentioning
confidence: 99%
“…However, the associated risks are duplicated efforts, conflicting findings, and turf wars across departments over data ownership and governance. In this diffused model, IR professionals are expected to play a role as a “translator, advisor, and coach” to support other departments for data interpretation and contextualization (Gagliardi, ).…”
Section: Facilitation Skills For Irmentioning
confidence: 99%
“…Regardless of institutional type, the use of data analytics has and will likely continue to gain traction at colleges and universities nationwide. Still, as more innovative examples of data‐enabled institutions emerge, it is worth remembering that it is challenging work to imagine, implement, and sustain (Gagliardi, 2018a).…”
Section: Using Data Effectivelymentioning
confidence: 99%
“…In recent years, researchers and scholars have begun examining the intersection of senior campus leadership and institutional research (IR), particularly as demands for data and insight have expanded and become more complex (Gagliardi & Wellman, 2014; Swing & Ewing Ross, 2016). No longer satisfied with descriptive reports of historical data, campus leaders are now asking for and using: forecasts to position the institution for an uncertain future; integrated data spanning student success, performance, and cost to utilize scarce resources effectively; and real‐time operational data to understand the routine fluctuations associated with programs and services (Gagliardi, 2018a; Keller, 2018; Parnell, Jones, Wesaw, & Brooks, 2018; Webber, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…To effectively evaluate the University, the BOR and president utilized analytics to review budgets, enrollment, graduation rates, and a variety of other key metrics to keep informed on the health and stability of the organization (BOR BYLAWS, 2020, Powers of the Board of Regents sec.). It is from here the president made decisions with the MLT to keep the cost of tuition down, increase enrollment, improve infrastructure, and predict and avoid risks for the institution (Gagliardi, Parnell & Carpenter-Hubin, 2018).…”
Section: Midwest Universitymentioning
confidence: 99%