Business Rules Management Expert in e-Commerce Software

Case Description:

A business rules management expert was requested for a misappropriation of trade secrets case involving an e-commerce software product. The software product incorporated elements of enterprise software and business intelligence technology. The plaintiff alleged that the defendant misappropriated trade secrets it was privy to and developed a competing product.

IMS ExpertServices was asked to locate a business rules management expert with extensive experience in business rules application technology and knowledgeable of e-commerce software.

Experts Presented:

  • Information Systems Design

    This business rules management expert has more than 20 years of experience in information systems design and 10 years with business rules-based systems. He has taught information systems and accounting systems at the university level and has also worked as a consultant for the last 10 years in defining and implementing business rules management systems. He focuses on designing and implementing the back-end database, the rules-based analytical engine and the front-end user interface. He has applications pending for patents for enterprise software applications. IMS Reference #4999320

  • Business Rules Management

    This expert in business rules management has more than 30 years of experience in computer science, artificial intelligence and rules-based business intelligence software. He is a prolific writer, having written more than 200 articles on the topic of e-commerce software, enterprise software, and business intelligence systems. This expert holds an SB Electrical Engineering degree from MIT and both a master’s and Ph.D. in Computer Science. He has previously served as an expert witness on another case involving patent litigation. IMS Reference #5006695

  • Business Rules Technologies

    This business rules management expert has over 25 years experience developing real-world decision support applications using optimization and business rules technologies. His experience covers a breadth of industries for which he has developed predictive modeling systems. These include network optimization, manufacturing, supply chain management, transportation, taxation and entertainment. He holds a Ph.D. in Computer Science and a Master’s Degree in Mathematics. IMS Reference #4999279

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