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BPMS Watch: BPM Standards in Perspective

Nobody really cares about standards… until suddenly they do. When a standard reaches some threshold of adoption, a tipping point is reached. Then, if you’re not on the standard you’re proprietary....

 

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    Data Architecture for Business Architects

    Presented by Ken Orr, Founder and Chief Scientist, The Ken Orr Institute 

    Course Description:

    Schedule

    Face to Face

    2009 Dates Location
    April 16 Chicago
    June 24 San Francisco
    Sept 16 DC
    Nov 4 New York

    To enroll, call
    508-475-0475, x15

    eLearning

    Request this course Live Online

    In-House

    We can deliver this course at your location- request a complimentary assessment today.



    View Preview

    Data Architecture for Business Architects is a class based on some of the leading edge thinking of some of the leading researchers both outside and inside Wells, Fargo. This course addresses an integrated way of talking about (modeling) Business Value Chains, Value Streams and Business Processes and Information (Data) Architecture. More and more, organizations are taking these ideas and applying them to their organizations to help improve the basic their business processes and providing a roadmap for working with their IT organizations to come up with improved IT systems to enhance their business processes. “Data Architecture for Business Architects” is a course intended to provide a framework for those working on the business side to analyze and structure the business needs in a more structured and coherent manner.

    The course outlined is a 1 day course developed expressly for Business Architects to help them analyze their (current (as-is) and future (to-be) business architecture (including: business value chains, stakeholders, value streams and business processes) and data architecture (overall semantic data architecture, individual data architecture components.

    Course Outline:
    – Business Architecture

    • What is Business Architecture

    – Where does Business Architecture fit?

    • What is Information (Data) Architecture?
      – An Enterprise View of Data (Information)
      – A Distinction between Operational and Informational Databases/Systems
      – An Data (Information) Architecture Based on Business Architecture
      – A Mechanism (Approach) for Implementation Business and Technology Strategies
    • Operational and Informational Databases
      – Operational Database Strategies
      – Informational Database Strategies
    • Ways of Organizing Data
      – Entity-Relationship Modeling
      – Object-Class Modeling
      – Dimensional Modeling
      – Semantic Modeling
      – Data Structure (View) Modeling
    • Information Architecture Framework
      – Business Value + Data Classes
      – Understanding Information Architecture
      – Data Warehousing
      – Enterprise Information Architecture
      – Advanced Design Issues
    • Future Directions in Information Architecture

    Instructor Biography:
    Ken Orr is a Principal Researcher with the Ken Orr Institute, a business technology research organization. He currently serves as a Cutter Consortium Businesses/IT Trends Council Fellow. Mr. Orr is the Co-chairman of the Brainstorm Business Architecture Conferences and a keynote speaker on Business process. Previously, he was an Affiliate Professor and Director of the Center for the Innovative Application of Technology with the School of Technology and Information Management at Washington University. He is an internationally recognized expert on business process management, technology transfer, enterprise architecture, software engineering, information architecture, and data warehousing. Mr. Orr is the author of three books and hundreds of articles. Mr. Orr is currently directing research on a new technology called eXecutable Business Processes (eXecutable business process).

    Target Audience/Who Should Attend:

    • Business Analysts
    • Business Process Analysts
    • Business Managers
    • CPOs
    • CIOs
    • CTOs
    • Systems Managers
    • Systems Analysts
    • Database Designers
    • DBAs
     
       
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