Case Studies

Ecommerce Giant Accelerates Manual Reviews and Simplifies Case Investigations with DataVisor

DataVisor uncovers and visualizes linkages between fraud signals, accelerating fraud investigations

In this case study, you’ll learn how a multinational retail giant used DataVisor to:

  • Accelerate manual reviews of high-risk transactions 
  • Uncover fraud linkages with business-specific logic
  • Distinguish between good and bad customers rapidly
  • Streamline case management workflows and improve traceability

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An ecommerce company that sells high-value consumer electronics and digital goods and services was challenged with aggregating and correlating customer data points and fraud signals across multiple sources. There was no formal workflow or solution in place for manual reviews and case management, so decisioning was slow and imprecise. They turned to DataVisor for help.

Read this case study to learn how the client used DataVisor to visualize connections between fraud signals across multiple data sources and reveal linkages between customer accounts, cards and transactions for rapid decision-making.
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About DataVisor

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.