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.

If you would like to review the case study and learn more about the findings from the study please click on the REQUEST A PASSWORD link in the right-hand column. Once you receive your password you can access the case study using your unique code.

In the video below we interview Paul Nunn, Head of Catastrophe Modelling, SCOR and CEO and Founder of Insurdata, Jason Futers about the study and ask them to highlight some of the key findings.