Legacy Modernization with Decision Management

70% – 80% of the world’s data resides on mainframes, and is managed by over 200 billion lines of COBOL code.

The Government Accountability Office reports that Federal agencies are spending 70% of their IT budgets on maintaining legacy systems.

Over $50 billion is being spent on outdated systems, instead of developing new capabilities.

Many organizations are coping with aging legacy systems that are costly to maintain, difficult to change and lack the modern architecture needed to satisfy today’s consumer. Instead of trying to replace an entire system with the high risks and costs involved in such a project, these government organizations are instead adopting a decision management approach and business rules management systems to target their modernization efforts where they have the biggest impact.

In this presentation, James Taylor, CEO of Decision Management Solutions and Claye Greene, Managing Director of Government Solutions Provider TechBlue, share lessons learned and best practices from their extensive experience helping clients modernize their legacy systems with the targeted decision management approach. Learn:

  • Why you don’t need to modernize the whole application.
  • Why focusing on business rules is not enough and why decision management is the essential ingredient.
  • How to use decision modeling to identify and scope targeted legacy modernization efforts.

 

Why Use Decision Management?

Decision Management builds on SOA by externalizing decisions from operational systems and managing them separately as Decision Services. This approach uses the same basic IT system infrastructure but replaces hard to maintain COBOL with easier to maintain business rules and a business rules management systems (BRMS).

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HARNESS DATA-DRIVEN DECISION MAKING

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