By Michael Macias, Product Manager
Mobile-optimized data visualization of Prior Loan Usage among your students means you can see, forecast, report, and begin to resolve any issues immediately and seamlessly—no IT required.
This particular CampusMetricsSM Instant Insight calculates the average amount of total federal Subsidized and Unsubsidized Direct Loans used by your students. Data is grouped into grade levels displayed from “1st Year/No College,” all the way to “Continuing Grad.”
What Aggregated Prior Loan Usage Can Tell You
Using this insight can help you determine if you need to implement more outreach about responsible borrowing.
As you can see in the screenshot above, the left portion displays trends in the total amount of prior loans used by each group. In most circumstances, you would expect to see the sums rise—just (hopefully) not at an exponential rate until graduation. If you see an alarmingly high amount of loan usage for first-year students—or a significant spike for one or more subsequent years—you may want to investigate the issue further and consider measures to help drive those levels down.
The right side of the data visualization screen shows overall average usage of loans, broken down by undergraduate and graduate students. If too many are hitting max aggregate, there’s cause for concern that students won’t have enough loans left to complete their degrees. This insight can help trigger further ideas about strengthening financial literacy programs.
Data Visualization for Every Part of the Student Journey
Throughout the entire student financial services journey, CampusMetrics reveals insightful and actionable business intelligence, like this one, with a comprehensive gallery of prebuilt insights, including:
- ISIR Insights
- Operational Insights
- Award Letter Insights
- NPC Insights
Instant Insights can help you better understand student populations, drive enrollment, make policy decisions, and adjust services to meet students’ needs. Adhering to all regulations, CampusMetrics uses aggregated, de-identified ISIR data to develop actionable trends and insights.