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Prestigious Jolt Award for Product Excellence Won by Corticon Technologies

Category: Business
Published: 03/31/2008, 15:14
Editor: Catalin Buda

The leader in model-driven Business Rules Management software, Corticon Technologies, today announced that Corticon Business Rules Modeling Studio has been recognized as a Product Excellence Award winner at the 18th Annual Software Development Jolt Awards, sponsored by Dr. Dobbs Journal and CMP.

Dr. Dobb's Jolt Product Excellence Awards have been described by software legend Chad Fowler as "the Oscars of our industry". Each year winners are selected by a panel of judges consisting of industry insiders, columnists, and technology leaders. Jolt judges honor universally useful products that redefine their product space or solve a persistent problem that has consistently eluded other products, products that are both easy to use and full-featured.

Corticon's CTO and co-founder, Pedram Abrari, said: "We are honored to have Corticon Business Rules Modeling Studio selected by the judges as a 2008 Jolt Award winner, especially given the quality of the other products that were in the running". "Corticon Studio is one of several products included in Corticon's Business Rules Management System, but it also stands alone as the cornerstone of our model-driven design philosophy…a fact that makes this Jolt Excellence Award even more satisfying."

Business rules govern decision-making tasks, such as calculate premiums, how to score credit risk or reconcile financial transactions. When defined and enforced, business rules, help to ensure compliance with corporate strategies, best practices, and regulations.

Corticon Business Rules Modeling Studio is a standalone desktop environment to model business rules and to transform those rules into executable decision services. From initial capture of business requirements through analysis of the logical rule models, through creation and testing of "decision services" used to automate the rules in enterprise systems, Corticon Studio supports all aspects of the modeling process.



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