Perils Insight
Accurately assess major insurance perils risks with highly granular data models
Having a greater understanding of all the relevant perils risks at the postcode or address level allows UK property insurers to mitigate their exposure, tailor pricing, and improve profitability.
More precise risk estimates at the postcode unit and address level
More precise risk estimates at the postcode unit and address level
The Perils Insight product suite is a set of data models that predict the relative risk and variation of claims for theft, subsidence, flooding, storm, fire, escape of water, freeze, and accidental damage across the UK for both household and commercial property insurance.
Simplify underwriting
Simplify underwriting
Using vast amounts of high-resolution data for property, natural hazards, and demographic specifications, you can easily grade postcodes and addresses into relative risk bands to help tune the accuracy of your rating areas or drive underwriting results.
Perils Insight models
Theft
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.
Subsidence
Gain 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.
Storm
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.
Accidental damage
Gain invaluable perspectives into the distribution of accidental damage risk across the UK through our model, which combines detailed property, lifestyle, and demographic descriptors.
Flood
Accurately assess flood 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.
Escape of Water
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.
Freeze
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.
Fire
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.
A deeper understanding of your exposure to claims
A deeper understanding of your exposure to claims
Gain insight into areas where you have no experience data and easily grade postcodes and addresses into relative risk bands to help tune the accuracy of your rating areas or to drive underwriting results.
Gain new perspectives on risk aggregation
Understand and improve the management of your aggregate exposures to help reduce your reinsurance costs.
Keep up to date with the latest trends
The Perils Insight data models are regularly recalibrated with the latest available perils data and factor in changing risk patterns.
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