WhenFresh data is used by 8 of the UK’s top 10 banks, leading home insurers, the Bank of England, fintechs (e.g. MQube), insurtechs (e.g. Uinsure, Hiro…) and technology platform providers (e.g. Twenty7Tec).
WhenFresh brings together over 200 proprietary, private and public datasets in one place to create the UK’s residential property “data supermarket” comprising physical attribute, geospatial, topological, environmental, risk, peril, valuations, market and climate change data for virtually every residential property in the UK.
By combining these unrivalled data assets with our world class data science capabilities and instantaneous delivery via a single, simple API integration, WhenFresh builds bespoke data-driven solutions for clients throughout the Financial Service sector.
We are increasingly working directly with end-users in the Financial Service sector as well as providing data and solutions via long-standing reseller & white-label agreements with organisations such as Experian, Equifax, Axciom andTransUnion (formerly CallCredit), whereby WhenFresh often provide the residential property data elements of wider solutions.
For a glimpse of the some of the individual property-level data items that our existing banking and insurance customers commonly employ, please try the new WhenFresh mini-demo below:
Our Data Scientists pride themselves on creative problem-solving, so please talk to us about your particular needs and CHALLENGE US to find the best possible solution for you.
To find out more, please call us on +44 (0) 207 993 5818 or complete the enquiry form.
After matching a high-street bank’s customer database to our Home-Movers model, we identified that the mortgage lending arm of the business had missed potential mortgage sales from existing customers worth a massive half-a-billion pounds to other lenders.
By applying WhenFresh insights to their customer data, the bank is now able to pro-actively prevent potential home-move customers from slipping through the net.