Financial Services

Real-time Insights to Action for Financial Services

Detecting fraud in real-time, assessing portfolio risk at large scale and creating new revenue streams requires analyzing structured and transactional data in real-time from many different sources.

Why InsightEdge?

Detect Fraud and Prevent Money Laundering

  • Deploy and run advanced algorithms to detect and prevent money laundering and other fraudulent activities.
  • Utilize machine learning algorithms directly against data when its born. Eliminating the need to provision new data store for fraud detection workflows.
  • Act on capture insights in real-time by triggering workflows to protect against fraud.

Real-time Risk Data Store and Operational Intelligence

  • Aggregate and ingest billions of messages in real-time into a live risk result store for just-in-time analysis.
  • Evaluate the risk in your portfolio through monte carlo simulations running directly against transactional data.
  • Leverage an enterprise-grade in-memory data grid as Spark storage for low latency financial fast data analytics.

Personalization and Customer-360

  • Ingest real-time customer interaction data at high throughput to provide instant insights into customer segments.
  • Provide business users with full real-time visibility into the health and status of all edge and field components.

Ready to give it a try?