Retention Reporting & Analytics
Your mission is to ensure students attain their educational goals. So when students stop/drop out it has a major impact on the success of your institution. There are often many anecdotal stories to describe the barriers to student success, but is there any evidence to support them?
ASR Analytics works with institutions to build sophisticated business intelligence solutions that are easy for decision makers to use and foster a culture of evidence.
Be proactive about student success and retention
Student retention is affected by a range of factors. Best practices in student retention revolve around integrating data about financial aid, curriculum, advising, individual characteristics, student goals, and a host of other attributes. Combining data from each of these disciplines can be challenging, time consuming, resource intensive, and politically charged. Today’s student information systems are designed to record transactions effectively and are not optimized for reporting and analytics.
ASR can transform operational data from your student information system into actionable information optimized for strategic planning. Our retention and student success solutions include:
Highly visual dashboards to measure progress toward performance goals
- Set goals for program attainment, persistence, retention, and success.
- Use visual indicators to display progress toward goals at a glance.
Interactive reports that invite exploration
- Evaluate trends in retention by year and by term.
- Identify at-risk students proactively.
- Understand the effectiveness of developmental education, advising, and other retention programs.
Predictive analytics to increase student success
- Identify the key drivers of stop/drop outs.
- Estimate the effectiveness of intervention programs.
ASR’s strategic reporting solutions are built using business intelligence methods and best practices. That means we leave you with a strategic reporting framework that will provide for growth as your reporting needs and goals change.