Funding Scenario Analysis for Higher Education Institutions

Session Abstract: This presentation aims to equip attendees with the tools and methodologies needed to perform scenario analysis for university funding based on current resources and other relevant parameters. By leveraging data analytics, attendees will learn how to evaluate different funding scenarios and their potential impacts on the financial health of higher education institutions. The session will also introduce advanced analytics-based and predictive modeling techniques to augment traditional formula-based funding analysis. These techniques will provide a deeper understanding of the potential outcomes and enable optimization of funding decisions to ensure sustainable growth and stability.

Keywords: data analytics, predictive modeling techniques, sustainability, growth, stability