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CAPABILITY


Claims Fraud Analytics Application for Insurance

An analytics application to help insurance companies use data and analytics to identify fraudulent activities and reduce costs connected to fraud.

Overview

In the insurance market, it is crucial for claims managers to have as much information as possible to spot fraudulent behavior and to identify possible networks of fraudsters among counterparties, dealers and other parties involved in the business.

The context is complex and the process of identifying and investigating claims fraud is often scattered through different platforms and business units. By working together and using all available information, claims managers can use all available information to detect and fight internal and external fraud.

To offer assistance in navigating challenges related to claims fraud, Accenture designed an application to help insurance companies use data and analytics to identify fraudulent activities and reduce costs connected to fraud.

Specific Services

The application uses predictive modeling and also allows users to assess all risk factors thanks to a library of business rules that are specific for the insurance industry.

Key Features

  • End-to-end and business outcome focused
  • Modular approach
  • No black box. Business fully enabled.
  • Insight-driven to enable ease of change management
  • NBA focus—a way to standardize investigation best practice
  • Open to any analytics tool and skillset

Why Accenture

Our scalable Accenture Insights Platform has financial services applications built in, providing fast and easy access to an array of industry and functional applications that bolt on to the platform. In this way, clients experience quicker time to market and more rapid results.

Clients also access our wide range of capabilities rooted in:

  • Industry knowledge. The validity of our advanced analytics outcomes is underpinned by our deep knowledge of the sector.
  • Business. Applications are designed for business users and focused on business results, minimizing advanced analytics complexity. Getting to accurate outcomes does not require statistical, mathematical or IT knowledge—just business know-how.
  • Flexibility. Applications are based on a framework that can be easily integrated in an enterprise operational environment to drive business process action.