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Secure your business with real-time data and alerts

Financial institutions need to process large volumes of data from multiple sources, undertake deep analysis of big data, and provide non-compliance detection and risk oversight to act in near-real-time. Snowflake’s data engineering and AI services empower banking and financial services organizations to stay compliant and mitigate risks faster. Our scalable data models help flag malpractices, improve the quality of decisions, and implement stronger governance policies.

Navigate the evolving risk and compliance landscape with real-time analytics

Risk Management

Regulatory Reporting

Data Security

Case Study

Enhanced trade surveillance and regulatory compliance for top-3 investment bank

Find out how Snowflake helped set up a robust trade surveillance for a top-tier investment bank, making it regulatory compliant and creating faster system response times.

Customer success stories

Automating financial crime compliance with near real-time automated data ingestion

  • 3 days to 1 hour improvement in risk assessment time
  • Near real-time flagging of data anomaly
  • 1.5x reduction in operational cost

85% reduction in false positives using real-time fraud detection for leading insurance provider

  • Real-time fraud detection for claims processing
  • 85% reduction in false positives
  • 30% increase in effective fraud detection

Insights and perspectives

Customer testimonials

Michel Pandian

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Paul Raj

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Madhan Kumar

enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.

Let’s talk data!

Want to get faster and higher returns on your data and analytics initiatives?