Detect Fraud and Monitor Compliance

Financial institutions use Panopticon data visualization tools to identify sources of potential fraud and to monitor compliance with regulatory obligations. They typically monitor data generated by existing systems in order to highlight problems effectively.

Common usage scenarios include:Treemap and Scatter Plot data visualizations are particularly useful for detecting unusual trading activity.

• Fraudulent transaction monitoring
• Market abuse  and manipulation monitoring
• Price verification

Panopticon's ability to connect natively to almost any data source, including real-time streams, CEP engines, tick databases, column-oriented databases, and traditional relational databases shorten your implementation cycle.

The functionality you need to monitor compliance and identify fraud

Our OLAP-enabled visual analytics dashboards allow you to effectively monitor your data in real time, on an intra day basis, at the end of day, or on a longer term historical basis. All of our products support the critical tools you need, including:

• Subscribe to full and parameterized streams from CEP engines
• Federate static and streaming data through joins and unions
• Display and interact with hierarchies in your data
• Dynamically change additive hierarchies and aggregate values
• Drill and jump between data dimensions
• Aggregation and netting
• Time window and time period analysis to identify deltas between time periods
• Visualize trends, clustering, correlations, and outliers

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