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Financial Fraud Detection and Investigation with NEO4J Graph Technology

Date & Time : 6th August 2020, 2.00 pm to 3.00 pm IST

Organized crimes, and individuals collaborating to commit frauds through forged identities are increasing by the day. No fraud prevention measures are perfect, but by looking beyond individual data points, our solutions can uncover frauds through connected data analytics. Graph data science with visualization solutions can help investigators unravel hidden connections, data relationships and join dots to identify pattern of fraudulent activities in real time.

In our joint webinar hosted by NSEIT & NEO4J we have discussed how Graph databases offers new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time.

The Joint Webinar hosted by NSEIT & NEO4J covered how to :

  • Discover financial transaction frauds

  • Identify frauds in health insurance claims by TPAs

  • Detect fraud rings of group of parties for motor insurance claims


Brandon Richards

Sales Director, NEO4J

Vinay Wankhede

Software Delivery Lead, NSEIT

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