Fraud operations

Faster case resolution with fewer false positives.

For companies with high online transaction volumes
that are ripe for fraud

  • Banks
  • Credit issuers
  • Online service providers
  • E-commerce

Fraud operations teams need hot analytics
to help the "human in the loop"

More business than ever is conducted online, creating more opportunities for expensive and brand-damaging fraudulent activity, from credit card theft to account hijacking to money laundering. While rules engines and machine learning can signal a suspect transaction, a "human in the loop" is needed to avoid false positives that drain productivity and upset customers. And time matters, since fraudsters exploit stolen assets quickly and repeatedly until they are detected and shut down.

Most analytics systems respond too slowly to support quick interactive investigation and timely disposition of flagged transactions. This is especially true for large fraud operations departments involving hundreds of fraud investigators. Slow response leads to lower productivity for fraud teams and a longer time to resolution for each case.

Imply makes fraud teams more productive and effective
with instant self-service analytics

Imply is purpose-built for hot analytics, where fresh data and fast query response across large numbers of users is critical. Fraud operations is a quintessential hot analytics use case, as suspicious events need to move from source to detection to investigation and disposition quickly. With Imply, fraud teams process more cases with higher accuracy, saving money and reducing risk for the business.

Specifically, Imply provides:

  • Sub-second query response for fluid interactive investigation of machine-flagged events.
  • Performance at high transaction scale and high user concurrency to support large fraud teams.
  • Ability to blend real-time case data with contextual data from a variety of sources to give fraud investigators a complete view.

Get started with Imply for fraud operations

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