Risk Management Solutions (RMS) unveils the latest version of its Data Quality Toolkit, which enables reinsurers to assess, manage, and improve the quality of their exposure data. The Toolkit offers a new building valuation capability that helps reinsurers to identify potential valuation issues with particular lines of business, regions, or portfolios, and to understand the risk associated with under and over-valuation of properties. The Toolkit gives reinsurers insight into the data quality of a single submission or across one or more risk portfolios.

“We are proud to offer clients a product that allows them to make informed business decisions and target poor quality data for efficient clean-up, saving them both time and money,” says Roger Arnemann, vice president of data solutions at RMS. “Building valuation is an exciting addition to the solution and a great complement to our completeness and accuracy scoring process, wrapping up a powerhouse of objective analysis into metrics that clients can act upon.”

The RMS Data Quality Toolkit measures and visualizes the quality of exposure data across the dimensions of completeness and accuracy, providing a single quality score for each. Unlike data quality assessments based solely on total insured value, Data Quality