IBM Counter Fraud Management

IBM Counter Fraud Management (CFM)

— is a software that helps companies fight fraud in insurance, health, finance, and other spheres. For this purpose tools for working with big data are used to analyze heterogeneous flows of available information.

The desired result for business is an improvement of business results by reducing fraud losses. CFM segments the problem of incidents of fraud and financial crime into the following stages, which include detection, response, information gathering, and investigation.

The advantages of IBM Counter Fraud Management:

Completeness of carrying out the business task of fighting fraud by one unified system with a single access portal

Implementation flexibility is an ability to take into account the local business process features and their system automation

Open architecture is an ability to incorporate the existing solutions and business processes into the system logic

One-time connection to data sources, the existence of a fact store

Possibility to immediately react to events, for example, to block a transaction

Ability to deeply modify the system logic to create new rules and modify the existing ones without programming

Ability to create the analysis rules with the logical branching of the “If-then” type

Role model of system access and organization of business processes for fraud processing

Predictive statistical analysis

Advanced i2-based technology for conducting investigations

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