Overview

Impaxive Solutions developed a Data Quality Assurance Platform for an insurance regulatory authority to ensure data integrity across 11 lines of business. The platform automated data validation, applying key metrics—Uniqueness, Validity, Accuracy, and Consistency—streamlining compliance processes and enhancing data reliability.

Business Challenges

• Data inconsistencies and manual validation led to inefficiencies.
• Limited visibility into data quality hindered decision-making.
• Slow data processing affected compliance reporting.

Our Solution

• Automated Polling: Regularly scanned the database for records and retrieved corresponding files.
• Data Loading: Fetched files were systematically loaded into a centralized database.
• Validation Metrics: Applied critical quality metrics to assess data integrity.
• Response Files: Generated success, reject, and status files for processed data.
• Centralized Logging: Maintained detailed logs for auditability and compliance.

Implementation

• Technology Stack: Python, Hadoop & Apache Spark
• Development Methodology: Agile approach with iterative development cycles and continuous feedback.
• Quality Assurance: Extensive testing including security testing, performance testing, and user acceptance testing.

Results

• 85% Increase in Data Reliability: Improved consistency across business lines.
• 60% Faster Processing: Reduced manual workload, accelerating decision-making.
• Enhanced Compliance: Provided accurate data for reporting and regulatory adherence.