The Course Demand Analytics Lifecycle
While most institutional leaders agree that using data and analytics is an important part of any strategic process on campus, actually incorporating those insights into your processes can be a daunting task. Furthermore, there is a big difference between having the data and knowing what to do with that information to make a positive impact on the student experience. Learn how to implement five simple steps to incorporate more analytics into your course scheduling process. With every cycle of this process that you complete, your schedule will become more optimized and efficient, resulting in better schedules for your students and a more streamlined process for your staff.
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- An outline of the five steps for the course demand analytics lifecycle
- Data points to support why demand analytics is important
- A clear connection between demand analytics and student success