Data Management • Health Care
Member Data Management and Extraction from Payer Systems
Managed Facets administrative system from backend and created procedures to extract and manage data
Key Metrics
- 72% reduction in Data extraction time
- 98% data validation accuracy achieved
- 24 hour support for data warehouse management
- 20% reduction in manual effort through job automation
To meet the CMS compliance and data analytics requirements – member, provider, and claims data need to be processed from multiple tables. We performed data masking, anonymization, cross-referencing, duplicate removal, and business level validations at various levels. Next, we converted the data into the required format, including .txt, EDI, JSON, and other related formats. Finally, we created a data warehouse to store the data and data marts to create analytics on top of the data.
Key Features
- Rearchitect The System Design with Modern Tech Stack
- Migration of Millions of Healthcare Records into Azure
- Automated Data Validations
- Data Warehouse Management
- Custom File Formatting
Key Metrics
- 72% reduction in Data extraction time
- 98% data validation accuracy achieved
- 24 hour support for data warehouse management
- 20% reduction in manual effort through job automation