This poster session addresses how to turn data into insight; that is, when attempting to increasing college retention rates by Student Affairs assessment and intervention. The presentation emphasizes a four part strategy and culminates in demonstrating how to construct a predictive chart or a multivariate computer program; with an overview of both simple and multiple regression models. The ultimate goal is to design interventions that will upset the prediction model and increase student retention.