Case Study: Weber State University predicts student retention and boosts graduation during the pandemic with Qlik AutoML by Qlik

Weber State University Predicting student retention and success during a panedmeic with Qlik AutoML

Weber State University, a state-funded Utah institution serving a broad mix of students including many who need developmental support, faced urgent decisions when COVID-19 hit in early 2020. With limited funding and pressure to improve enrollment, persistence and graduation rates (key drivers of state support and accreditation), WSU needed a way to predict which students would persist or graduate and to prioritize interventions quickly and transparently.

WSU adopted Qlik AutoML as an affordable, fast and powerful solution that translates complex predictive models into understandable insights and integrates with their data warehouse. The university produced more accurate, trusted models, uncovered actionable drivers (for example, that worry-free aid strongly improves graduation chances), supported accreditation reporting, and unlocked faster exploration of new predictive projects to better allocate resources and support student success.

Weber State University

Heather Chapman

Director, Academic Analytics