March 25, 2015

Sherlock users can run real time, interactive investigations accessing multiple data sources via a cost effective pay per click model and rapidly receive the consolidated results on one screen.  Sherlock’s enriched data sources will give insurance fraud investigators greater insight into a property which may be subject to a claim or featured in an investigation.  The data service will validate the property type, the property attributes, sale or rental information as well as highlight anomalies related to the property condition. 
  
Data includes information on property type eg. house, bungalow, flat and property style eg. detached, semi-detached, terraced [mid or end], conversion or purpose built flats; number of bedrooms/bathrooms; garage or parking availability; sale and rapid resale details; rental details; plus access to  interior and exterior property images and floor plans.  In-built, enhanced tools are also available via integrated links enabling property street view, property aerial view and street layout maps.  

Commenting on the launch of customised property data into Sherlock, Sara Costantini, Director at CRIF Decision Solutions said:  “The role of data in insurance investigations is increasingly pivotal and there is a compelling case for data supported decision making.  The UK insurance industry paid out £8.1m on domestic property claims every day in 2013, according to latest ABI figures.  Set against increased claims costs, household premiums are falling. 

When talking to our insurer clients we recognise the need for additional information to help support them with domestic property claims investigations.  Our new information source arms insurers with new property data specifically tailored to their needs, recognising the need to control costs and increase productivity. They can rapidly and cost effectively interrogate property information via Sherlock.  We will continue to assist our clients with innovative ways to control claims spend in 2015.”  

To know more, visit our insurance fraud section