Challenge
The institution faced significant barriers in monitoring student success and program performance due to disconnected data systems. Key metrics from learning management platforms, retention programs, and diversity initiatives were siloed, preventing holistic analysis and actionable insights.
Administrators were often forced into reactive decision-making. Without timely insights, identifying at-risk students and intervening before issues escalated proved difficult. Additionally, the lack of tools for tracking program-specific performance made it challenging to pinpoint curriculum gaps or implement targeted improvements.
This fragmented approach limited the institution’s ability to ensure accountability and proactively address challenges, creating a pressing need for a comprehensive data solution.
Solution
Technology Partners collaborated with the institution to develop a centralized dashboard designed to provide actionable insights into student retention, performance, and diversity outcomes. The solution began with the creation of a unified data pipeline using Azure Synapse Analytics, integrating data from LMS platforms, Adaptive systems, and admissions processes. This provided real-time updates and a single source of truth for all key metrics.
Custom dashboards were built to monitor student retention rates, GPA trends, and program-specific diversity metrics. These tools enabled administrators to visualize critical data points and gain a clear understanding of student success indicators.
Machine learning models were implemented to identify at-risk students based on attendance, grades, and behavioral trends. These predictive tools allowed administrators to intervene early, providing targeted support to students in need.
Comparative performance reports for academic programs were also delivered, equipping leadership with the tools to evaluate and improve underperforming curricula.
Results
The centralized dashboard delivered transformative outcomes for the institution. Student retention rates improved significantly, with a 4% reduction in dropouts saving an estimated $1.3M annually in potential lost tuition. Predictive risk models enabled administrators to act proactively, preventing students from falling through the cracks.
Program accountability improved through actionable insights into curriculum performance, leading to a 31% increase in efficiency for underperforming programs. Additionally, the platform streamlined administrative workflows, saving over 4,000 hours annually by eliminating the need for manual reporting.
This project highlights the power of integrated data and predictive analytics in shaping the future of education. We're proud to have helped this institution create a solution that truly prioritizes student success and program excellence.
Jake Gower
Service Line Manager, Technology Partners
These advancements enabled the institution to foster a more inclusive and successful academic environment, ensuring that students and programs alike could thrive.
Key Outcomes
- Reduced student dropouts by 4%, saving $1.3M annually in lost tuition.
- Increased efficiency of underperforming programs by 31% through actionable insights.
- Saved over 4,000 administrative staff hours annually with streamlined reporting.
- Enhanced proactive support for at-risk students using predictive risk models.
