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ERIC Number: EJ1315242
Record Type: Journal
Publication Date: 2020
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0271-0579
EISSN: N/A
Building an Agile Data Analytics Environment to Support University Decision-Making: A Case Study of Ohio State University's Rapid Development of a COVID-19 Dashboard System
Zheng, Henry Y.; Mayberry, Eric; Stanley, Leanne
New Directions for Institutional Research, n187-188 p31-42 Fall-Win 2020
Data analytics is increasingly important to the operations and strategic growth of higher education institutions. In September 2019, three higher education professional associations issued a rare joint statement calling for the accelerated investment and intensified efforts to develop and deploy data analytics in support of campus decision making. COVID-19 disrupted the momentum generated by the joint statement. However, during the pandemic, many universities recognized data analytics as a critical asset to their response to the crisis. In this case study of Ohio State University's COVID-19 dashboard development process, the authors demonstrate that the principles advocated by the joint statement are exactly the reasons that a successful and nationally recognized dashboard effort was possible. The case study shows that senior leadership support, strategic investment in the right technologies, and close collaboration among campus data analytics professionals are among the key factors of success.
Wiley. 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://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A