Presentation Summary
Data Modeling is part science, part art. When you first learn it, it all seems clear and easy – until you go back to your institution and now have to model 5 different ways of counting students, or have to deal with pesky cohort- and division-based metrics such as retention and graduation rates. And what’s this about many-to-many relationships? Come learn how one institution (finally) figured these out.Presentation Speaker(s)
Nadya Balabanova, Loyola Marymount University
Presentation Files
You must be a registered member of the HEDW and properly logged in to view this content