Universities collect data on students; much of it has not driven decision-making. Advanced analytics find the answers more efficiently and cost-effectively than ever before. These questions cover all aspects of operations—from student-facing to back-office.
Advanced analytics mean we don’t have to guess at the drivers of student success. Machine learning quickly identify factors that determine a student may be at risk—and then make decisions and prioritize actions for university administrators to intervene.
Analytics are a powerful source of insights that support effective decision making and strategic development. Concerns about the quality of data are usually misplaced. You likely already have enough data to drive preliminary insights, quickly identifying opportunities for growth. Privacy concerns are understandable. But anonymized, aggregated data is all you need to start making ground breaking discoveries.