How Weber State uses AutoML to predict enrollment rates

Melissa_Potvin — Fri, 15 Jul 2022 21:07:41 GMT

Here is a new customer story from Weber State University about their success with .

Weber State University is a Utah-based regional university with a community college mission. It offers more than 250 certificate and degree programs to 29,000 undergraduates and 1,000 postgraduate students. WSU turned to Qlik AutoML to better predict its retention, graduation and employment rates. With these insights they could develop strategies to build WSU’s reputation, lower the skills gap and provide metrics to ensure funding and growth.

Challenges

Improve student retention to enable more to graduate
Make WSU more competitive and attractive to students
Identify key factors that influence enrollment, performance and graduation rates

Solution

Having identified enrollment, persistence and graduation as three primary success factors, WSU used Qlik AutoML as a solution to establish trends and actionable conclusions quickly and reliably.

Results

Greater visibility into factors that affect student retention and graduation
Access accurate and reliable data to deliver insights and shape strategy
New capabilities enable WSU to help more students through college education and into the workplace

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topic How Weber State uses AutoML to predict enrollment rates in Qlik Predict

How Weber State uses AutoML to predict enrollment rates