In higher education, figuring out how to stand out among thousands of other respected institutions can be particularly daunting. Adapting to the changing landscape plays a crucial role in gaining a competitive edge. To accomplish this, higher education institutions are leveraging data and analytics to gain insights in areas across the educational ecosystem.
These insights are being used to increase the number of best qualified accepted students who enroll and start classes, and to optimize class enrollment, by both ensuring professors’ classes are filled and maximizing the variety of courses offered. Download our guide to learn our top 5 tips for leveraging data and analytics in higher education.
Determining the data and information already existing within the organization carries its own set of complexities. This guide explains how to survey what exists, build a large audience with representation from throughout the organization, and more.
Within higher education, we find data provides useful predictive analytics to help with new student recruitment, optimizing class enrollment, enhancing the student experience, and more. We’ll share tips for brainstorming opportunities to use analytics and leveraging big data models to accomplish that.
This guide offers tips for the execution of data analytics projects, including importing data, planning and building data models, and creating dashboards to share the results. All of this is done with the goal that all stakeholders spend less time on analysis and more time on taking action on the results.