Home » Case Studies » Shift Technology helps the insurer identify frauds in the claims management processes using Big Data
Shift Technology helps the insurer identify frauds in the claims management processes using Big Data
Country: France Year: 2013
Concept:
Shift Technology is a SaaS Big Data software, which analyzes in detail, the data on the insurance policies and insurance claims through machine learning, in order to detect fraud
It creates automatic detection scenarios by collecting data from insurers or from social networks and identifies suspicious activity
The company has built its business model on the volume of data treated
Currently specialising in P&C insurance, the company intends to eventually expand its solution for banks and e-commerce
Consumer Benefits:
Identify and reduce possibilities of fraud: claim handlers can avoid fraud and thus lower Combined Ratio
Saves time: through its advanced algorithmic processes, the company collects and treats data in a short span of time
How To Use:
The tool offers two main functionalities: (1) Claims and (2) Network, for fraud handlers and claim managers
Claims: This tab displays the list of all claims with the insurer, that can be categorized and split by various filters
Network: Using the claims and policy data base, as well as several other parameters such as user’s name, address, policy, phone number etc. the tool creates a social network of insurance database thus establishing connections between users and claims, in order to identify discrepancies or dubious claims
Illustration:
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