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.
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.