Case Study: Leading Personal Insurance Company achieves 5% cost reduction with Mu Sigma enterprise-wide data quality management

Implemented enterprise-wide data quality management program

Leading Personal Insurance Company, one of the largest publicly held personal line insurers, worked with Mu Sigma to strengthen its information strategy and trust in data. The company faced challenges including the lack of a solution architecture for data quality management, difficulty identifying key quality metrics, and the need for better monitoring and cleansing of data across the business.

Mu Sigma implemented an enterprise-wide dynamic data quality management program, starting with the Marketing function and then extending across business areas. Using its muUniverseTM platform and a structured framework for validation, auditing, cleansing, parsing, and standardization, Mu Sigma improved data completeness, correctness, and consistency. The result was better operational efficiency, improved productivity and throughput, and a 5% reduction in overall data quality-related costs, including detection, prevention, correction, and rollback/rework costs.