A national financial institution
Executive Leadership at the institution lacked confidence in the reliability of performance and risk metrics reported to regulators and the Board to demonstrate compliance with regulatory mandates and to drive strategic decisions.
This was a project where risk data quality was the primary objective. We were required to perform a comprehensive data quality assessment and cleanse over 100,000 data points to maximize data quality and minimize negative regulatory impact of bad risk data.
The solution relied on the design and implementation of hundreds of data quality rules, and then using them to identify all data inconsistencies.