Without adequate understanding of all the relevant perils at the postcode or address level, UK property insurers may struggle to mitigate their exposure, tailor pricing, and improve profitability. Whatever the peril, what if you could access such insight without any hassle?
The Perils Insight product suite is a set of data models that predict the relative risk and variation of claims for major perils for both household and commercial property insurance.
Easily segment postcodes and addresses to refine rating and boost underwriting results, powered by high-resolution property, natural hazard, and demographic data.
Use data models regularly recalibrated with the latest available perils and claims data and adjusted for changing risk patterns.
Understand and improve the management of your aggregate exposures to help reduce reinsurance costs.
Gain invaluable perspectives into the distribution of accidental damage risk across the UK through our model, which combines detailed property, lifestyle, and demographic descriptors.
Our model uses historic claims patterns for burst pipes and non-weather-related escape of water incidents, with more than 100 million data records across 26 million properties and 1.7 million postcodes.
We reliably assess risk for fluvial and coastal flooding, combining factors such as the built environment and local terrain to estimate the risk down to the individual property level.
We use detailed postcode-level predictors of fire risk, supported by deliberate and accidental fire incident data and the drive times to the nearest fire station.
We combine comprehensive temperature information with highly detailed property, environment, and demographic factors to estimate the risk of a burst pipe claim during freezing spells.
Our model looks at developing crime patterns and underlying economic trends to quantify the relative risk and variation of theft, with detailed, postcode-level theft risk estimates.
Our model predicts the relative risk and variation of windstorm damage with more than 72 million wind speed recordings across the UK, factoring in rainfall, topography, and urban density.
We supply greater insight into ground movement-related risk through our model, which uses unique data sources for rainfall, vegetation, and geology and cross-references them with property characteristics and historical claims data.
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.
Use machine-learning algorithms to model the risk of escape of water claims due to non-freeze events in residential properties across the UK.
Use advanced analytics to model the relative risk of escape of water claims due to burst pipes following localised frost events across the UK.
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.
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.
Make sense of large geodemographic classifications and track insurance uptake trends across your client base for product builds and marketing offers. Generate risk assessments of customers based on their claim frequency and average claim value.
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.