Compliance teams in most institutions generally manage the response to requirements set by regulators. As a result, the compliance strategies in use tend to be reactive. Teams focus on whatever issues arise and often deal with the same issues year after year. This passivity prevents institutions from taking advantage of the compliance team’s secret weapon – a big-picture view of the entire student life cycle. Fortunately, techniques borrowed from predictive analytics allow compliance teams to use their big-picture view to lead the charge from reactive to proactive student management. Compliance teams can use data from sources such as PRISMS and student management systems to develop predictive models to improve functions such as progression monitoring and agent performance management. With these models, compliance teams can provide decision makers with tools to help them: implement effective intervention strategies; make efficient use of student management resources; and improve the quality of the student experience and outcomes.
This session will enable attendees to:
*identify opportunities to leverage existing institutional data to empower decision-makers *advocate for a shift from reactive to proactive student management at their institution *describe the mutual benefits of cross-functional partnerships for improving the student experience.