Brenda Ulin & Danielle Martinez, University of Iowa
University of Iowa utilizes data scientists, student success staff, and IT resources to support student success and retention. Through this collaboration, we have created student success predictive indices and identified associated key positive and negative influencing factors. Incorporating these indices and influencing factors into our institutional intervention systems provides coordinated student success outreach and messaging. We discuss our collaborative approach to utilizing predictive indices and influencing factors for modifying student success policies, programs, and practice. We will share our approach to holistic, quantitative and qualitative, student attribute identification and collection; data storage strategies; process integration; outreach correlation; and BI solution demonstrations.