Students build analysis models to analyze fictional companies and execute the model against business data sets

Prism is a statistical regression project that presents the opportunity for students to apply their modeling knowledge in a realistic setting.

Prism presents students with background information on a fictional company, including its objectives and constraints, and the data available for analysis. Each learn team then is provided with unique datasets. The teams then follow a semi-guided set of analyses which they write up in a report. The models the teams come up with then are judged against each other, to see which are most accurate.