The Human Side of Data Integration: Powerful Principles Critical to Success

1 Day Course (Course can be customized to meet your organization’s needs)
Instructor: Len Silverston, President, Universal Data Models, LLC

Why You Should Attend

A key to any information integration effort such as data warehousing or data management is to understand the personal, cultural and political environment, and consciously employing proven principles to enable success. The most successful integration information efforts usually share one thing in common: an effective environment that provides fertile ground for data integration.

Course Description

This course will explore principles and techniques to help understand and move toward an environment that enables integration. It will review case histories of successful and unsuccessful efforts, illustrating why some data integration programs succeed and others fail, as well as what we can do to avoid pitfalls and apply techniques that have worked for other organizations. There will be interactive exercises where participants can practice handling difficult issues that normally arise, by applying principles leading to effective data integration.

You Will Learn

    • Political and cultural factors that are key to data integration efforts
    • Tools and principles to enable data integration, such as keys in facilitating a common vision, developing trust, balancing short term and long term objectives, relating to audiences, moving incrementally and managing conflict
    • Real-life stories of how culture and politics either blocked or fostered effective data integration programs
    • Case examples and exercises allowing participants to practice overcoming challenges that data integration professionals often face

Who Should Attend

  • Executives
  • Managers
  • Data architects
  • Data warehouse designers
  • Enterprise architects
  • Data modelers
  • Any professional focused on integrating data and information across an enterprise
Praise for UDM Seminars

“Great instructor, I liked the fact that he used lots of success stories and examples. Great timing since we were just beginning our data warehouse efforts.”

Data Warehouse Analyst, manufacturing organization

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