Case Study: a major health insurer improves data quality with QuerySurge

Health Insurance Provider Utilizes QuerySurge to Dramatically Improve Data Quality

A major health insurer was faced with the challenge of validating enormous and complex data sets from various sources. Traditional validation methods were ineffective, leading to data defects reaching production and jeopardizing compliance and pricing. They needed a better solution to dramatically improve data quality without increasing their testing time or resources.

The insurer implemented QuerySurge as their data quality solution. Using QuerySurge, they developed thousands of test queries to validate data sets containing up to 100 million rows, uncovering critical defects. The solution significantly reduced testing cycle time and resources, enabled unattended nightly test execution, and provided the comprehensive data validation necessary to meet federal regulations and improve business intelligence.