Predictive Analytics for Financial Aid
Developed a predictive analytics system that optimized financial aid distribution and improved student outcomes.
Client: State University System
Challenge
The State University System needed to optimize their financial aid distribution to maximize student success while working within budget constraints. Their existing process relied on basic criteria that failed to account for individual student needs and likelihood of success.
Solution
We created a comprehensive AI strategy and implemented a predictive analytics system that analyzed historical student data to identify factors most correlated with student success. The system helps financial aid officers make data-driven decisions about aid distribution.
Results
The university system saw a 15% increase in graduation rates among aid recipients, a 23% reduction in dropout rates, and more efficient allocation of limited financial aid resources. The system is now able to identify at-risk students and provide proactive support.
This predictive analytics system has revolutionized how we approach financial aid distribution. We're now able to make smarter decisions that truly support student success while optimizing our limited resources.
CFO, State University System
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