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.
