As well as accessing answers to the simple questions such as the number of bedrooms & bathrooms, insurers can access accurate answers to the property questions a consumer is unlikely to know. Such items can be significant risk factors, such as: height and angle of the roof; construction type and when built; proximity and height of the nearest tree; proximity to water; presence of Japanese knotweed; proximity and function of nearest commercial premises; presence of cladding in dwellings within building of 11m+ in height; energy performance and much more. Whether collected on the fly via prefilling new insurance applications, or in bulk for analytical and modelling purposes, access to this comprehensive, accurate pool of property data items can deliver the insurer a ever deeper understanding of property-level risk and drive more accurate and competitive pricing.

When an insurer is preparing a policy portfolio for reinsurance, each property can be enriched with a more comprehensive range of key data variables than ever before. Presence of cladding, energy performance ratings, ESG suitability, rents achievable, Rental Index, climate considerations, future flood, coastal erosion and ground stability exposure are among the many key characteristics which are typically considered. The portfolio can then be readily segmented, packaged and better-presented to take to the market to achieve optimal reinsurance outcomes. This service is also increasingly being used on the buy-side by reinsurers and by M&A teams who need to gain a deep understanding the value and risk within the portfolio to inform their decisions.