Speed Up Your Investigations And Reduce Fraud Losses

An intuitive, easy-to-use desktop tool, Sherlock is complementary to the business process and will help insurers create an immediate profile of customers, highlighting the potential risk involved. ​Sherlock is designed to deliver, in one click, counter-fraud intelligence to the investigator. By consolidating best of breed data sets on a single screen, Sherlock supports around 100 UK insurers in speeding up the investigation process, delivering operational efficiencies, and reducing the time to collect and integrate key information.

The role of data in insurance investigations is increasingly pivotal, but access and interrogation of data sources can be costly and time-consuming requiring multiple licenses and users to log in to numerous data provider systems before manually combining and analysing all the results. 

Covered industries

Business People 25 400

The Business Case

Sherlock delivers significant time and cost efficiencies to the market, reducing investigation times by circa 30% and controlling costs via the ‘pay as you go’ model. There is a compelling business case for data driven decision making in insurance investigations and we developed Sherlock to assist the industry in taking full advantage of the data sources available, both now and in the future, to protect and grow the bottom line.

Best Data Sources for Research and Exploration

  • Linked addresses with over 30m records
  • 100% UK coverage for vehicle history/description/finance
  • Wide coverage of phone numbers
  • Credit file address confirmation
Business People 36 400

Key benefits

Verifying and validating customer information

Cross-check multiple information sources i.e. vehicle accuracy, accident history, correct phone numbers, identity validation, DOB & documents.

For financial Institutions

Checking claims histories and connections

Investigating insurance claims histories from over 40m records to find non-disclosed claims at previous linked addresses.

Uncovering claims connections

Finding hidden connections between parties of past and present motor, home or personal injury claims, and different addresses associated with existing numbers.

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