Some of the largest drivers of escape of water risk can only be known from data at an address level—for example, the number of bathrooms and bedrooms, number of floors, and total floor area. Then there are additional risk factors such as the type of property, whether it has been extended and altered, its energy usage, and whether it is tenanted.
Escape of Water Insight is an analytics model that uses machine-learning algorithms to predict the likelihood of EOW claims due to non-freeze events in residential properties across the UK.
Access to address-level data can vastly improve an insurer’s ability to measure escape of water risk and price accurately.
From purpose-built to converted flats, our model can identify each dwelling’s exposure based on its location, floor number, and property attributes.
Our latest Escape of Water Insight model is address- and postcode-specific, validated against five years of relevant claims history, and able to rank properties by risk level.
While Escape of Water Insight captures the risks associated with maintenance-related plumbing incidents, Verisk’s Freeze Insight assesses EOW risk caused by frost-related incidents.
Our model contains over 6 million building-control applications collected from more than 200 councils in a five-year period—and over 18 million Energy Performance Certificate records.
The model identifies the number of bathrooms, bedrooms, and floors for every address, which all correlate with the likelihood of claims.
Energy costs, usage, and efficiency ratings captured in Energy Performance Certificates may indicate how well a property is maintained and how much a household uses heating, which creates more wear points of failure in pipes.
Any notifiable plumbing works carried out through extending or altering a property can create new exposures and are identified in building control applications.
Tenanted properties tend to be more exposed than owner-occupied properties in terms of both reporting and quality of maintenance.
Our suite of underwriting tools and data sets provide granular and accurate insight into the risk associated with any building and the people who live there, along with previous claims information and relevant perils exposure at a postcode or address level.
Underwrite more accurately and efficiently with near-instant building characteristics of residential properties using high-resolution aerial images, street-level mapping, and high-quality proprietary data sources.
Receive more precise risk estimates of major insurance perils at the postcode unit or address level, including theft, fire, subsidence, escape of water, freeze, flood, storm, and accidental damage.
Develop a more comprehensive view of property risk with interactive mapping technology to visualise all the different risk accumulations at an individual address or postcode level.
Identify any address of the 30 million addressable properties in the UK. Ensure your addresses are accurate when making use of any address-level risk model.
Use advanced analytics to model the relative risk of escape of water claims due to burst pipes following localised frost events across the UK.