Cost and revenue analytics have a variety of uses in higher education from determining the economics of new academic programs and supporting the budgeting and planning process, to strategic resource allocation, administrative program review, and even campus master planning. This presentation outlines cost and revenue modeling and analytics as it applies to higher education. The presenters take attendees through the spectrum of cost and revenue modeling and analytics options, from simple department-level modeling to more complex institution-level modeling and specialized costing applications. The audience will be exposed to the potential uses, benefits and challenges associated with cost and revenue modeling and analytics, with particular emphasis on data challenges/maturity and on how different institutions have found success in implementing cost and revenue analytics solutions. At the end of this session, attendees will have a greater appreciation for how to embark on the road to creating a robust cost and revenue analytics capability at their institution.
Learning Objectives:
- Identify how and why cost and revenue analytics will benefit your institution
- Learn how other institutions have overcome challenges when developing cost and revenue analytics capability
- Determine what sort of cost and revenue model and analytics is best for your institution
- Understand how to embark on the road to creating a robust cost and revenue analytics capability at your institution
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