Fair Isaac Corporation announced that version 6.1 of its award-winning Blaze Advisor business rules management system is now available in five languages, in addition to English. Businesses worldwide can now develop and deploy business rules using interfaces and data represented in French, German, Spanish, Brazilian Portuguese, and Japanese.

The localization of the Blaze Advisor system accelerates and simplifies strategy execution with enterprise business rules to help businesses reach new levels of agility in an increasingly complex, competitive and regulated global economy. Building upon a tradition of bringing innovative capabilities to the rules market, the system demonstrates Fair Isaac's continued investment in and commitment to enterprise decision management both domestically and abroad.

"The introduction of localized rules development environments and documentation provides businesses with the ability to accelerate decision management regardless of where business decisions are maintained," said Mark Layden, vice president and general manager of Enterprise Decision Management Software at Fair Isaac. "Our clients are now in a position to harness the power of rules and develop them across the extended enterprise to ensure that business processes conform to internal and external standards."

The latest release of Fair Isaac's Blaze Advisor system includes the advanced Rete III inference engine for best-in-class performance within complex, enterprise class deployments and powerful rules management capabilities. The system also offers a .NET and Java version and fully supports multi-platform deployment of rules.

Blaze Advisor rules management system is used by many of the world's leading companies. It is the first rules engine to support Java, .NET and COBOL deployment of the same rules. The multi-platform solution supports Web Services and SOA, Java 2 Enterprise Edition (J2EE) platforms, Microsoft .NET and COBOL for z/OS mainframes.

Blaze Advisor system is part of Fair Isaac's software and solutions for Enterprise Decision Management, which combines data analytics, modeling and policy-level control to let companies define and manage their automated business systems for improved efficiency and greater profitability.