While many students start questioning the value of higher education, universities need to find ways to improve student satisfaction to remain attractive. Offering a personalized experience to students can drive engagement and bring universities in a better position in the competition for new enrollments. By collecting and harmonizing all data across the campus, universities can use intelligent technologies to help build a personalized student experience. For that, we outline the roadmap to build a resilient foundation of back-end tools to drive a single-source-of-truth for all university data forcing clarity into front-end applications that deliver the personalized experience to students providing insights into student sentiment and behavior. By highlighting a recent SAP proof of concept with a renowned US-university, we present an example of how machine learning capabilities can enhance student advising with data-driven, personalized insights.
Downloads: presentation (PDF) – paper in EJHEIT
