Case Studies

Fintech Startup Real Time Financial Fraud Detection

Background

A Risk Management Company that offers technology and intelligence services to protect community banks and credit unions from financial fraudulent activities was in growth phase and was looking for a scalable platform to handle the increase in scale of data to be processed. Real-time detection of fraudulent activities helps its customers avoid the negative circumstances created due to financial crime.

Challenge

Some of the key challenges in existing solution were:

  • Inability to handle increase in number of data sources
  • Need to ingest from real time data sources
  • Mandated compliance requirements
  • Complicated business rules
  • Aging infrastructure and solution was unable to keep up

Discussions with client revealed that there was a need to implement a data processing platform with Big Data technologies. A few immediate benefits include easy horizontal scaling to accommodate increased volume of data, a single modern platform and being able to handle multiple workload types (batch, streaming). Apart from these immediate benefits, the following expanded possibilities exist once a big data platform is put in place and adopted as a corporate strategy:

  • Real time Event Processing
  • M2M event processing
  • Advanced analytics, Data science to monetize and leverage value from data
  • Machine learning, not just Business Intelligence
  • Recommendation engines
  • Predictive analytics at global scale
  • Geospatial analytics
  • Anomaly detection (not just fraud)

Solution

pSolv rapidly implemented a solution with following key features:

  • Ingest and process both real time and batch transactions
  • Metadata driven Real time ETL
  • Multitenancy
  • Advanced predictive analytics

Outcome

  • pSolv delivered though leadership, solution architecture and an accelerated outcome
  • Customer was able to identify financial crime in real time
  • The solution scaled horizontally
  • The solution offered flexible and user friendly business rules configured by business users
  • Set a strong foundation to realize strategic goals outlined above

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