Enrollment, aid, course capacity, and research finance
Industry
Higher Education
Colleges
7
Departments
About 42
Student records
About 36,500
Research projects
About 950
SummitVue University is a fictional higher-education institution built for synthetic BI training, demos, and portfolio work. The dataset is safe for screenshots because student identities are de-identified, faculty and sponsor names are fictionalized, and sensitive student-service detail stays intentionally out of scope. SummitVue should feel like an institution-wide analytics package rather than a narrow registrar export. Buyers can move from recruitment and enrollment into course capacity, post-aid net tuition, student momentum, and sponsored-research burn using the same terms, colleges, departments, programs, and safe student context across the model.
These are the operating questions this kit is optimized to answer first.
compare demand, admits, yield, registration, and persistence across terms, colleges, programs, and student cohorts.
identify overloaded courses, underfilled sections, modality shifts, waitlist pressure, and department capacity constraints.
explain how scholarships, grants, tuition, balances, and payment timing affect net revenue by cohort and program.
track retention, credit momentum, course outcomes, and graduation progress without exposing sensitive student identities.
follow proposals into awards and expenditures, highlighting sponsor mix, funding burn, and at-risk grant balances.