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Webinar: Predictive Analytics for Student Success

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Colleges and universities are increasingly turning to data-driven decision making in order to improve student outcomes and success. Predictive models can help identify at-risk students and alert the appropriate individuals to intervene at the right time. There are numerous factors that can contribute to a student’s experience in higher education.

Concordia University Wisconsin partnered with Aviso Retention to proactively engage with their student using custom predictive models aimed at specific sub-populations of students. Andy Miller, Director for the Center for Academic Advising & Career Engagement will review CUW's student support successes and student engagement opportunities made visible with Aviso Retention.