Fraud Detection and Monitoring

• Situation: Moving Data Requires Event-Driven Monitoring
  • Streaming machine-generated data overpowers existing end-of-day analytics and reporting infrastructure

• Problem: Existing Commercial Products Not Real-Time
  • Existing products are designed for ETL-style capture and analytics, not for streaming data

• Solution: Event-Driven Monitoring with StreamBase
  • CEP for event stream aggregation, correlation, and action
  • StreamBase LiveView for monitoring
  • Integration with Hadoop and streaming machine-generated data

• Impact: Market Disruption, First Mover Advantage
  • Firms that are first to market with real-time monitoring and fraud detection capture a distinctive advantage in the market and save millions due to electronic-induced outages and fraud.