A dimensional logical data model is in many cases a fully-attributed perspective of the dimensional conceptual data model, as illustrated in this figure. Whereas the logical relational data model captures the business rules of a business process, the logical dimensional captures the business questions to determine the health and performance of a business process.

Admissions Count in this figure is the measure that answers the business questions related to Admissions. The entities surrounding the Admissions provide the context to view Admissions Count at different levels of granularity, such as by Semester and Year.