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ScorXPRESS Overview
Fraud costs businesses and consumers a tremendous amount of money each year. Addressing this growing problem is expensive and ongoing, because those who commit fraud are always finding new ways to defeat detection systems. The situation is compounded by the expanded number of channels that are used to promote and accept account applications and transactions.

If fraud is a concern for your organization, ScorXPRESS® can increase the effectiveness of your detection and prevention practices. It’s used by major financial institutions and retailers to process hundred of thousands of requests each day. Employing sophisticated analytics combined with business rules, ScorXPRESS® is a highly tailored predictive model based system that lets you instantly identify many types of fraud. ScorXPRESS® uses a wide variety of data including application data, credit bureau histories, and transaction histories to create custom fraud detection algorithms. Your organization’s unique experiences are automatically built into the resulting analytical intelligence. This approach produces a distinct advantage over traditional verification practices which use standard or generic models.

Key Differentiators

  • Easily update your fraud system with the most current trends and patterns using customized analytics built specifically for your business
  • Augment a model only based approach with additional business rules to combat localized problems such as hot-spot fraud, changing patterns, and exception processing
  • Easily integrate real-time scoring models with application processing to provide superior fraud prevention coverage without disrupting with normal business procedures
Benefits
  • Stay current on fraud patterns by quickly and easily updating and tailoring models for application, authorization, and transaction fraud as often as needed
  • Reduce fraud losses by increasing detection rates
  • Increase revenue by accurately processing more good credit applications in less time
  • Lower operating and verification costs by reducing false positives and unnecessary verification activities
  • Improve credit application turnaround time

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