Real-Time rapid visual analytics for competitive advantage
Attova partners with Panopticon in financial markets, where clients use these tools to speed up business processes, reduce operational and investment risks, detect anomalies (including fraud), and identify opportunities to increase profits and sales.
Their solutions enable clients see hidden patterns or spot problems in addition to helping them identify useful opportunities in their data.
Panopticon’s platform excels in:
• Transforming data into intuitive academically validated graphical displays that are easy to understand and use.
• Enabling monitoring and analysis of multi-dimensional data with its fast, in-memory OLAP data model.
• Connecting to virtually any data source, including real-time streaming feeds, message buses, the output of Complex Event Processing (CEP) engines, relational databases, and proprietary data formats.
Powerful visualisations designed to work with time-critical data
The information visualisation techniques supported by the Panopticon platform help users see multi-leveled hierarchies, interconnections and details on individual objects in order to solve problems, understand complex relationships or identify areas of concern. They are optimised for handling time-critical data, including data that may be changing very quickly, even in real time. These tools enable complete understanding of the data at a glance by taking into account the latest research on human perception.
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Monitor and analyse risk with interactive real-time dashboards
Clients use Panopticon to monitor risk limit usage and to analyse risk data generated by an external risk engine. Dashboards are designed to help users spot problems and opportunities in the data faster then is possible with any traditional reporting system. Use cases include Market Risk, Credit/Couterparty Risk, Liquidity Risk, Fund Risk Management




Visual analysis of trading performance
Banks, asset managers and hedge funds use Panopticon dashboards to analyze and monitor trading performance across the complete trade lifecycle in real time and at the end of the day. Historic time series trading and execution data can also be analysed in order to identify long term trends and patterns.
Use cases: Pre-trade basket analytics; Algo trading scenario performance/profitability monitoring; order/quote driven markets- trading performance monitoring; post trade analysis.
Compliance and fraud
Panopticon's data visualisation tools are used to identify sources of potential fraud and to monitor compliance with regulatory obligations. Here, data monitored is typically generated by existing systems in order to highlight problems effectively.
(Treemap and scatter plot data visualisations are particularly useful for detecting unusual trading activity)


