Modifying Validation Rules

Before you run the Data Quality Analysis Validate Data diagnostic, you can create or modify Validation rule sets using the Rule Set Editor. The rule sets enable you to analyze where your exposure data is missing key information and whether it contains any invalid combinations of attributes.

•          Completeness Rules: Enable you to check key exposure data for missing values or for particular user-specified values that might have a significant impact on modeled losses.

•          Reasonability Rules: Enable you to compare key attributes to each other in order to report instances where seemingly mismatched data, such as a location entered with a Commercial Parking occupancy and a Wood Frame or Mobile Home construction, is included in the exposure data. Large numbers of locations that violate these types of reasonability rules indicate that the data may not be correct, which could affect the accuracy of the loss estimates, depending on the perils being analyzed.

During the analysis, the system flags any locations that violate the selected rules and displays them as analysis results.

Related topics

•       Using the Rule Set Editor

•       Completeness Rules

•       Reasonability Rules