Wednesday | 4:30 PM - 5:30 PM | Case Studies Track

SESSION TITLE

A Methodology for Evaluating Business Rule Management Software (BRMS) in Large Organizations

SPEAKER(s):

David Goldstein Lead Consultant RuleAgents, Inc.

Ming Su US Patent and Trademark Office

MAIN FOCUS OF PRESENTATION: Business & IT

FAMILIARITY WITH SUBJECT: Some

ABOUT THIS SESSION:

Large organizations have costly infrastructure to be considered in significant software purchases. Business rules projects must consider only organizational resources as well as diverse stakeholders impacted by both the effort and software. Conversely, a vendor’s large reward for enterprise-wide adoption fosters keen interest. This paper discusses a methodology to examine numerous candidate tools for satisfying organization’s detailed business rule requirements. What You Will Learn:

• How to structure an evaluation to ensure infrastructure compatibility
• How an evaluation process can address the needs of diverse stakeholders
• How to structure an evaluation process to accommodate large numbers of respondents



ABOUT THE SPEAKER(s):

David Goldstein has over twenty years of experience in business rules and expert systems. He has worked as a developer, consultant and enterprise architect on projects for many firms, including Freddie Mac, CapitalOne, and numerous branches of the government. Prior to his consulting he was an assistant professor and ran a research and development facility catering to the Department of Defense. His doctoral dissertation is in fault-tolerant distributed rule systems.

Ming Su has worked with several leading commercial Rule Base Expert system software – ART* Enterprise, Blaze Advisor, ILOG and Gensym. He has over twelve years of industry experience in implementing business decision support system (DSS) in critical environments, as developer, knowledge management architect, and business rules analyst on multiple projects and in several different types of organizations. Other responsibilities included J2EE enterprise architecture design, business rule architecture design and review, knowledge acquisition and management, critical issue problem solving and quality assurance reviews. Mr. Su has done research with Dr. John Durkin in Artificial Intelligent field while he studied in University of Akron.