Panopticon Software, the leading provider of data visualization software for monitoring and fast analysis of financial data, today announced a partnership with Sybase (NYSE: SY), an industry leader in enterprise and mobile software, to offer an enhanced, interactive visual analysis interface for Sybase RAP - The Trading Edition.
Panopticon will now be able to connect directly to Sybase RAP - The Trading Edition as well as Sybase Aleri Complex Event Processing (CEP) engine.
Stuart Grant, Business Development Manager for Sybase, said, "With Sybase RAP - The Trading Edition and CEP, we have developed a comprehensive platform for multi-frequency data management and analytics to support both large and medium-sized financial services operations. The addition of the Panopticon real-time Online Analytical Processing (OLAP) and visual analysis toolset will allow multiple user communities to achieve highly specialized yet bespoke visualization on a consistent view of data and analytics. As a result, our customers will have the tools to extract even more value from their existing Sybase platform and stay ahead of the fast-changing requirements of banks, mutual fund and hedge fund companies, particularly in the critical areas of trading, risk monitoring and analysis."
Willem De Geer, Managing Director of Panopticon, stated, "In the banking world, it's extremely important for senior managers to have clear visibility into trading activities, associated risk exposures and profitability metrics across the enterprise. Our data analytics tools make that enterprise-wide visibility easier. This agreement with Sybase provides another example of how our software can be integrated successfully into bank and fund companies' infrastructures."
The partnership will provide the unique combination of multi-dimensional visual analysis capabilities across real-time and historical event analytics coupled with the fastest and most scalable integrated in-memory and historical analytics platform available today. Capital markets firms can make efficient, intelligent use of data for their trading, quantitative analysis and risk management needs, combining streaming and intra-day analytics with historical trend analysis. Specific applications include Real-Time and On-demand Risk Analysis,, Pre-Trade Analytics, Market Monitoring, Trading, Market Liquidity Analysis (MLA), Liquidity Management, plus business profitability analytics.