Provost Data Trends
Trends pertaining to academic enrollment at William & Mary are available on the Provost website.
View Provost Data Trends
Learn more about the five dimensions of Diversity (Recruitment & Retention; Campus Climate; Academic Excellence; Organizational Culture & Accountability; and Community Engagement, Innovation & Reconciliation).
Find DEI Data
W&M faculty and staff have access to operational data used to manage the university through the Qlik tool. The data is sourced from Banner and major W&M operational systems. Users can search and filter data to generate an endless variety of result sets to quickly identify trends, anomalies, and aggregations vital to their day-to-day decisions. Qlik Sense supports an assortment of visualizations, including tables, bar charts, pivot tables, line charts, gauges, maps, KPIs, and many more!
Learn how to find data
Looking for data to answer a question?
A library of governed data exists and continues to evolve and expand. The Qlik App Tracker contains a list of Qlik Apps currently available to members of the W&M user community. Qlik App data is subject to W&M’s Acceptable Use Policy and access to a particular App is governed by Application and Data Steward(s).
Find my data
Looking for quick Qlik tool introduction and training?
Data Office Hours
Looking for data guidance? Need Qlik tips? Not sure where to start?
The CDO team members (Institutional Research and Business Intelligence) hold office hours bi-weekly on Wednesday from 10am – 11am on Zoom. Please drop-in and let us learn about your data challenges and work together to answer questions and make getting the right data to answer your business questions easier.
Register for Data Office Hours
Data Governance Advisory Committee (DGAC)
The DGAC oversees activities and investments to improve organizational decision-making and excellence through a laser focus on data fluency, governance and management across the entire university. Our goal is to manage data as an asset in a way that empowers W&M faculty and staff to use data in increasingly effective, efficient and ethical ways.