The Challenge. A global educational publisher’s data warehouse for K-12 products faced severe performance issues: high costs, slow processing, and latency problems that prevented school districts from accessing timely analytics.
The Solution. Tricon Infotech redesigned the data platform architecture, implementing optimized data partitioning, retention policies, and modern processing workflows that dramatically improved speed and reduced costs.
The Result. The client achieved 70% cost reduction, 50% faster data delivery, and 40% improvement in processing times, with further enhancements planned.
A leading educational publisher relied on its data warehouse to deliver critical analytics to school districts using their K-12 software products. However, the platform had become a liability:
- Too Slow. Processing took 8+ hours, preventing timely insights.
- Too Expensive. High operational costs from inefficient processing.
- High Latency. School districts couldn’t get the analytics they needed when they needed them.
- Cannot Scale. The architecture couldn’t support growing data volumes.
The platform’s performance issues were affecting customer satisfaction and limiting the publisher’s ability to deliver on the promise of data-driven insights for education.
Tricon’s engineers worked with the client’s Data Services team to implement a comprehensive data architecture overhaul:
- Optimized Data Organization. Reorganized data partitions to dramatically speed up table joins and queries.
- Smart Retention Policies. Reduced historical data retention to 13 months, significantly improving processing speed without losing critical insights.
- Data Quality Improvements. Added tagging mechanisms and removed duplicates for enhanced efficiency.
- Modern Processing Architecture. Implemented a “medallion” system that processes 100 million events per day efficiently, filtering and refining data through multiple stages to deliver only what’s needed for reporting.
- Dramatic Cost Reduction. Operating costs dropped approximately 70% due to faster job completion.
- Faster Insights. Data delivery speed improved by 50%, ensuring schools had timely access to critical information.
- Improved Performance. Processing time reduced by 40%, with further improvements anticipated.
- Scalability Achieved. The system now processes 100M events daily and can scale further.
- Foundation for Growth. Success paved the way for expansion across other core products.
- AI-Ready Infrastructure. The modern architecture enables future AI and analytics capabilities that were previously impossible.
This wasn’t just about making things faster; it was about enabling the client to deliver on their promise to customers. School districts depend on timely analytics to make instructional decisions, allocate resources, and demonstrate student progress.
By transforming the data warehouse from a bottleneck into an enabler, Tricon helped the client:
- Improve customer satisfaction and retention.
- Reduce operational costs significantly.
- Create a foundation for AI-powered educational products.
- Enable expansion of analytics capabilities across their product portfolio.
The success of this initiative demonstrates how custom software development expertise can transform underperforming infrastructure into strategic assets.
