Webinar Training Schedule
The Office of Institutional Research will offer four webinar trainings in Fall 2026. Come join us to learn more about essential aspects of data at WMU.
Bronco Insights Training for New Users
September 23, 10:00 – 11:15 AM
Host: Becca Sly, Business Intelligence Analyst
Meet to demystify the University’s enterprise business analytics platform, Bronco Insights, and gain new powers of summoning data (no wand necessary). By the end of the session, you will know what data are available, how to navigate the portal and run reports, how to automate reports to email, and much more!
Register for Bronco Insights Training
Institutional Rankings and Profiles
October 20, 10:00 – 11:00 AM
Host: William McQuitty, Institutional Research Analyst
With thousands of colleges and universities in the U.S., college-bound seniors and their parents face a daunting choice in selecting an institution. Organizations like US News & World Report, College Board, and Times Higher Education recognized this opportunity and designed methods to compare and rank academic institutions against a host of metrics. Decades later, these systems wield influence over university decision makers focused on improving their rankings. This webinar will cover history of the rankings, a deep dive into US News methodology, consequences for gaming the system, and impacts on student decision making.
Register for Institutional Rankings and Profiles
Data Governance at WMU
November 18, 10:00 – 11:00 AM
Host: Jason Jach, Director of Institutional Research
An introduction to data governance concepts, including goals and principles, components and frameworks. We will discuss existing data governance at WMU and areas for improvement while also highlighting current institutional data policy.
Enrollment Forecasting at WMU
December 2, 11:00 AM – 12:00 PM
Host: Will Stutz, Associate Director of Institutional Research and Data Scientist
A short overview of the models we use to forecast enrollment at WMU, highlighting when and how we predict both short- (one year) and long-term (ten year) enrollment, how accurate we are, and the purpose the forecast serves.