1. Using data visualization and visual statistics, the University of Idaho’s Institutional Effectiveness and Accreditation group published a range of self-service dashboards, giving staff members access to insight-rich trend data on enrollment, admissions and student performance – information to do their jobs better. For instance, academic advisers used data to understand where their interventions would have the most impact. They were able to keep more at-risk students on track for graduation.

Analytics also shed more light on financial aid considerations, helping Idaho better disperse needs-based assistance, as opposed to performance-based. These students who may never have otherwise graduated, or even attended college, are at Idaho pursuing graduation and greater life opportunities.

2. Like many schools, the University of North Texas was data-rich and insight-poor. Fundamental issues with data integrity, data management and data governance plagued the university’s analytics department, relegating data to silos and making enterprise analytics difficult. Now, more than 425 business users across the university are empowered to make decisions based on the UNT Insights program housed on the university’s enterprise-wide data and analytics platform. Armed with a single source of the truth, executives quickly gained the confidence to make policy decisions based on analytics.

The drop, fail, withdraw, incomplete (DFWI) rate is a key indicator of student success. Administrators track this metric closely, which in years past, was presented in an exhaustive 75-page Excel spreadsheet and available by single semester only. With analytics and data visualization, administrators were able to view a four-year trend for DFWI rates, exposing patterns to investigate. Policies and procedures were changed, and as a result, retention rates rose across first-time college and transfer students, putting more of those students on the path to a diploma and saving the university an estimated $450,000.

3. Faced with declining enrollment, Ohio’s Sinclair Community College turned to analytics to better understand student registration, success, and outcomes. To help students continue on the path toward graduation, the team created a degree audit report using data visualization tools that allow Sinclair’s chairs and advisers to look at students’ degree progress. They can pinpoint the students who have not been enrolled in the past year, and view them by adviser, school, major, and more. A list of students who are close to degree completion enables staff to reach out and advise them on courses to help get across the finish line.

Sinclair is also attracting more students that are more likely to graduate from college. The school created a report pertaining to College Credit Plus, a pre-college program designed to provide students the opportunity to earn high school and college credit before high school graduation. Those students graduate college at a significantly higher rate than the general community college student population.

Learn how 4 universities are using data analytics to improve grad rates

Data visualization software allows the College Credit Plus office to look at historical enrollments and see if they differ by region, high school, course, demographics and more. Sinclair provides fact sheets to its partner high schools showing how students from those schools perform on college coursework. It’s been a competitive advantage for Sinclair to build and cultivate those relationships, which has contributed to increases of 25 to 33 percent in enrollments year-over-year from College Credit Plus partners.

4. Oklahoma State University is on its own analytics and data visualization journey. Quick and easy reporting is providing new insights into student success. For instance, department heads can see the frequency with which students in their college change majors. A bubble chart showing retention by department reveals how many students are above or below the enrollment target, by degree. Deans can easily determine which department has lower retention rates and can focus resources to boost retention and keep more students on track to graduate.

Previously, this information was in table format, making it nearly impossible to spot patterns or trends in data. Now using data visualization, OSU leaders can actually see the data, spot important trends, and make data-informed decisions faster to impact student success.

OSU is embarking on new analytics efforts, such as automating enrollment reports so they can see week over week changes by year. For recruitment, they plan to analyze applied/admitted/enrolled data by college and other demographics compared to previous years. And to better understand how their graduates perform in the workforce, they will dive deeper into career services to view graduate hiring and salary trends.

Today, education is facing greater accountability and fiercer competition for students, increasing the importance of data and analytics to create meaningful and successful student journeys. While using the insights gleaned from these analyses, educational professionals are helping to propel students on the path toward moving that tassel at graduation.

About the Author:

Georgia Mariani is principal product marketing manager for education for SAS, an analytics and business intelligence provider with nearly four decades of experience working with educational institutions. A SAS veteran of more than 19 years, Mariani works with customers to share best practices, successes, and recommendations that enable education institutions to get the most productive insights from their data.


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