Colleges and universities are increasingly turning to data-driven decision making in order to proactively improve student outcomes, the general student experience on campus and improve graduation rates. Dormant SIS, LMS, Financial and Survey data is now the fuel feeding the potential underlying predictive analytic usage and the value predictive modeling can bring to campus students, staff and administration by way of accuracy and efficiency of action.
In this webinar, Andy Miller, Director for the Center for Academic Advising & Career Engagement at Concordia University Wisconsin (CUW) speaks to the common challenge of keeping students enrolled and engaged on campus. We will then take a solution-based approach, focusing on how predictive models aimed at specific sub populations of CUW students returned the most value relative to seeing more students persist and graduate.
Andy Miller will be joined by Aviso Retention’s VP of Client Success, Heather Taynor and Chief Data Scientist, Bryan Bell in a conversational engagement to expose the value behind predictive analytic driven student engagements and the staggering positive return to the institution and student experience.
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