Case Studies
Flood risk with SCOR
Overview
SCOR and Insurdata, working closely with the modelling firm, Katrisk, conducted a study to assess how high-resolution exposure data available at the original point-of-underwriting informed the underwriting process; and how changes in that data impacted modelled loss estimates used for pricing, underwriting and portfolio management.
SCOR supplied a sample of geocoded property information. The data underwent a series of augmentation processes, including: enhancing building centroid accuracy; developing building perimeter sets; and creating detailed perimeter exposure sets for key locations based on site visits. The data sets were modelled using Katrisk’s storm surge and inland flood models.
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Flood risk with SCOR
SCOR and Insurdata conducted a study to assess how high-resolution exposure data available at the original point-of-underwriting informed the underwriting process

Breaking down the flood data
Canopius and Insurdata explored the extent to which augmented geocoding, perimeter and building attribute data affected exposure levels and annual average loss forecasts