SeeWhy and JBoss Expand Relationship to Tighten Integration in SOA Environments

JBOSS WORLD (ORLANDO, Fla.) -February 14, 2008—SeeWhy Software, the creator of the first event intelligence platform, today announced an expansion of its relationship with JBoss, a division of Red Hat, Inc., through tighter integration of SeeWhy with the JBoss service-oriented architecture (SOA) platform. In addition, SeeWhy has become a JBoss Advanced Partner.

Following demand from the JBoss community, SeeWhy has been working with JBoss to build tight integration between the companies' products, specifically to provide real-time visibility and exception detection at runtime for JBoss jBPM processes. SeeWhy customers have achieved up to a 900% increase in performance by embedding event intelligence into processes. In short, the processes become much more intelligent by "self tuning" each process instance to optimise performance.

SeeWhy's event-driven business intelligence (BI) platform enables customers in industries such as financial services, telecommunications and retail to optimise the performance of customer-facing business processes like event-based marketing, demand sensing, fraud detection and online customer experience. These capabilities help companies to increase revenues, reduce costs and reduce risks.

SeeWhy designed its platform based on service-oriented architecture and leveraging standards-based JBoss middleware solutions such as the JBoss Application Server, JBoss jBPM and JBoss ESB.

"In 2007, SeeWhy integrated its platform with our business process management and ESB solutions, allowing customers to tap into data streaming through the ESB and then initiate business processes based on an analysis of those events," said Pierre Fricke director of product line management, SOA products at Red Hat. "The result for customers is powerful event intelligence that's designed for use in an SOA. Now, through tight integration and our expanded relationship with SeeWhy, Red Hat's JBoss customers will be able to benefit from faster deployment and JBoss-specific business activity monitoring. JBoss Enterprise SOA Platform and JBoss jBPM customers in particular will be able to benefit from real-time visibility of processes executing."

Charles Nicholls, founder and CEO of SeeWhy Software, said: "We've enjoyed a long-running relationship with the JBoss division of Red Hat because our companies share a focus on developing solutions that are geared toward taking advantage of the natural integration provided by SOA environments and, at the same time, helping customers derive the full benefits of SOA. We're pleased to up our relationship at this time to become a JBoss Advanced Partner."

About SeeWhy Software

SeeWhy is the first Event Intelligence platform. By continuously analyzing every business event and initiating automated corrective actions, SeeWhy enables the business to become proactive to increase sales, reduce costs and avert risks.
SeeWhy combines advanced profiling and the power of Event Stream Processing technology with the ease of use of desktop applications, so that business operations teams can build and deploy powerful closed loop Event Intelligence applications for the first time. SeeWhy is one of the top private European software companies, as a Red Herring 100 Europe, named Global Innovator by Guidewire Group and highlighted as a cool company by Gartner. SeeWhy Software was incorporated in 2003 and has offices in the U.S. and U.K. More information can be found at http://www.seewhy.com/

Terminology

BI - Business Intelligence; BPM - Business Process Management; SOA - Service Oriented Architecture; BAM - Business Activity Monitoring; ESP - Event Stream Processing; Closed loop BI - Analytics are embedded into a business process and drive automatic actions based on the analysis. Event Based Marketing - using unique customer behaviors to trigger personalized campaigns or offers; Profiling - a technology that builds and maintains a "normal" profile at the individual account level, enabling changes in behavior to be immediately detected; Fraud false positive - when a fraud detection system incorrectly flags a transaction or account as fraud.

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