Quality Grades

Using Data Quality Analysis, you can augment known and unknown building information in your portfolio based on AIR-derived quality grades to determine which data is better suited for your business needs. For example, if you know that the construction and occupancy data is good, but are less confident in the height data, you can choose to update only the height information for which AIR's Property-specific database has a high quality grade. Differentiating data quality through grading provides greater visibility into the reliability of data.

Each data element in AIR's Property-specific database is assigned an AIR-derived quality grade. The grading methodology is based on AIR’s unique experience in the insurance industry and on close partnerships with the providers of the property-specific data sources that comprise the database. Available quality grades include:

•          High: AIR considers data elements with a High grade to be of the best quality. However, even if data elements have a High grade, AIR cannot guarantee 100% accuracy of the data.

•          Medium: AIR does not consider data elements with a Medium grade to be of as good a quality as data elements that have a High grade. Therefore, there may be some risk involved in augmenting your exposure data with Medium-grade data.

You can augment exposure data with data elements that have a grade lower than Medium only if you always use AIR's Property-specific database values. Even data elements with a grade less than Medium or High can be useful when the exposure data set is missing data or contains unknown data elements.

Established grades are primarily based on the line of business and the source of the data, enabling them to reflect the relative quality of any given data element. More granular distinctions in data quality are captured through adjustments that raise or lower grades based on the specific details of data elements. For example, a geocode captured via GPS or satellite technology on the rooftop of a building is more accurate than a calculated geocode estimate based on the relative position between two end points of a street segment. Therefore, the geocode captured using GPS at the building will carry a higher quality grade than the geocodes derived from a street interpolation.