Developing a Culture of Data-Informed Decision Making
A panel-led presentation by University of Maryland, Baltimore County (UMBC) Moderated by Jack Suess, Chief Information Officer
Total time: 35 minutes
Colleges and Universities are under more pressure than ever to make faster decisions and demonstrate results. One key element of this is making data available to decision makers in a form that allows them to ask questions and do "what if" analysis. Making this a reality often requires a cultural shift that looks holistically at data access and reporting across the institution.
In addition to having the right technology solution to enable easy, self-service access to data analytics, it is essential to develop a shared institutional vision that encourages critical thinking, asking "the right questions," and collaborative problem solving.
The University of Maryland, Baltimore County has made substantial progress in developing such a culture of data-informed decision making, recently earning an award honoring this effort from leading global IT industry analyst firm Ventana Research.
The panel includes:
- Yvette Mozie-Ross - Asst. Provost for Enrollment Management - Ben Lowenthal - Assoc. VP for Financial Services - Michael Dillon - Director of Institutional Research - Joe Kirby - Asst. VP for Business Systems - Michael Busges - Project Director for Student Administration - Kevin Joseph - Asst. Director Business Systems
They will brief you on the concerted efforts by the University to establish a shared vision for data access and reporting, build support for this across the university, and leverage the right technology to achieve tangible, superior results.
Institutional executives, directors and managers with leadership roles at the executive level or functional level (including IT, enrollment management, finance, institutional research, academic review, etc.) as well as anyone responsible for or seeking to improve institutional effectiveness through the active use of data analytics will find this webinar highly informative.