Data AnalysisInternal OnlyVerified
Reviewed and published by trentmaziarz, March 23, 2026. Discovered and drafted by our automated research pipeline.
UMass Amherst operates a university-wide analytics platform called Flagship Analytics, powered by Tableau, that gives administrators and faculty interactive visual dashboards covering enrollment trends, student success data, research metrics, and financial aid patterns. It is used to support data-informed planning and decision-making across the institution.
Details
Flagship Analytics is managed by the University Analytics and Institutional Research (UAIR) office and is accessible to all faculty and staff through the university's secure portal at analytics.umass.edu using a UMass NetID. Dashboards cover a wide range of topics including class size, course completion rates, faculty and staff data, teaching load metrics, and financial aid distribution. Access to more sensitive data requires FERPA certification. Paired with ASER Analytics — a separate set of Tableau dashboards managed by the Assessment, Survey, and Effectiveness Research office — the platform supports program review and accreditation reporting.
Products affected
Flagship AnalyticsASER AnalyticsTableau
Sources & Evidence
Company Disclosure
Other practices by University of Massachusetts Amherst
OtherUMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.OtherUMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.OtherUMass Amherst established a formal university policy on the use of generative AI in academic work. The default rule is that using AI to do your academic work for you counts as cheating — unless the instructor of a specific course explicitly says otherwise. The policy took effect Fall 2025 and was developed by a faculty task force that studied the issue throughout 2023–2024.
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