The project was completed on time and within budget, showcasing CCNC’s disciplined approach to planning, execution, and innovation in a complex and highly regulated healthcare landscape.
Project Overview
The transformation centered on migrating a fragmented and rigid legacy data architecture — plagued by inefficiencies and technical debt — to a unified, modern data analytics technology stack built entirely on AWS-native tooling. CCNC’s goals included:
- Re-architecting the data pipeline to support faster, more reliable processing
- Improving data quality and governance
- Supporting real-time and large-scale analytics across hundreds of millions of healthcare claims records
- Delivering enhanced scalability and flexibility for evolving use cases and future growth
Challenges Addressed: Complexity, Rigidity, and Delays
Before the migration, CCNC’s legacy data platform suffered from several limitations:
- Siloed data processing environments that hindered end-to-end transparency and introduced inconsistencies
- Long processing times — sometimes taking hours or even days — to execute large batch jobs and produce analytics
- Difficulty tracing and resolving data quality issues, resulting in long lead times for remediation
- Limited agility to release new features or adapt to emerging analytics requirements
Outcomes: Measurable Gains in Performance, Quality, and Agility
CCNC’s cloud migration and modernization initiative produced transformative results:
- Greatly reduced data processing time, from hours or days to just minutes
- 50% improvement in issue resolution time, enabling faster root cause analysis and remediation of data anomalies
- Accelerated feature development cycles, allowing for faster deployment of analytics capabilities and dashboard enhancements
- Positive feedback from both internal teams and external stakeholders, particularly around the reliability and accuracy of data delivery
- Improved governance and standardization of data pipelines and storage frameworks, laying the foundation for long-term compliance and quality assurance
By embracing AWS and modern data engineering best practices, Community Care of North Carolina has established a cloud platform capable of supporting the fast-moving, data-rich demands of modern healthcare. The new environment delivers speed, scale, and trust, empowering CCNC to serve its members and partners with greater precision and responsiveness.