Case Study

Canopius and Insurdata analysed data from a portfolio of properties across the Houston, Texas area to explore the extent to which augmented geocoding and perimeter data affected exposure levels and annual average loss forecasts.

Canopius supplied Insurdata with a sample of geocoded property information representing a typical raw data set as available in the re/insurance market. The data underwent a series of augmentation processes – providing accurate building level geocoding as well building perimeter data.

The data sets were then modelled through Fathom’s high-resolution flood model on the ModEx cat modelling platform.

The study is a collaboration between Insurdata, Canopius, Fathom and Simplitium.

If you would like to review and learn more about the findings from the study, please contact us on support@insurdata.io

“There is no reason why insurers should not be using accurate geocode data in their risk analysis. While the ability to map exposures at a much more granular level is relatively new, initiatives such as Insurdata, enhancements in satellite imagery and the evolution of machine learning are enabling much greater exposure detail at the individual property level.”

DR ANDREW SMITH, CHIEF OPERATIONS OFFICER AT FATHOM