Using Data Mining to Drive Student Success, Completion, Transfer, and Revenue Generation

Data tell us interesting stories that can help us design strategies to benefit student success. Mining data in new and interesting ways allows educational leaders to better understand the challenges and opportunities that face students and institutions today. In this session, you will learn a variety of ways you can pull and analyze data pertaining to course success, retention and stop-outs, credit accumulation, and performance in general education or barrier coursework and evaluate it for opportunities to reshape strategy toward a student success and completion focus. You'll learn a myriad of opportunities available for how to evaluate data to drive success, retention, completion, and operational revenues. You'll see real-life examples of how to use this data to reframe your strategies to better offer supports for students as well.

Outcomes: Learn how to analyze data and shape relevant strategies * Explore data support frameworks that you can replicate at your institution * Understand predictive analytics in student success data * Understand how data about success can drive revenue opportunities