Higher Education Analytics and Budget Planning

ENROLLMENT MANAGEMENT ANALYTICS:  we provide colleges and universities with the data analytic support to forecast student enrollment based upon market structure analysis, demographics, scholarship, location, program offerings, financial aid offerings, prior enrollment behaviors, CIP code majors and other variables.  As economists and experienced university administrators we understand the challenges faced by universities and colleges in seeking to forecast their annual enrollments, for both undergraduate and graduate programs.  Our data analytic tools, experience working with higher education databases (e.g., IPEDS, College Board), ERP generated data and intimate knowledge of higher education makes HSSA an optimal partner for your enrollment management and institutional research divisions.  

CLASSROOM PLANNING ANALYTICS:  planning what courses to offer and what discipline of full-time or part-time faculty to hire can be a daunting task, term after term.  At HSSA we use descriptive analytics to analyze trends in course enrollment, changes in students' degree preferences and other factors to assist your institution in forecasting enrollment trends for specific courses.  This knowledge can assists deans and other administrators in the optimal planning of courses, and provide statistically valid information for their projected faculty needs.

ACADEMIC AFFAIRS BUDGET PLANNING: at HSSA we provide clients with a data-driven approach to university budget planning.  We assists clients is developing optimal strategies for linking course scheduling, facilities planning, technology planning, staffing levels, and faculty resource planning to overall budgetary objectives - in order to achieve short and long-term budget planning goals.  

LONG RANGE ENROLLMENT FORECASTING: through our use of institutional, proprietary and public use databases we assists clients in forecasting their long-run enrollment trends, by employing our models of higher education predictive analytics, industry demand models and workforce demand estimations.