Post-Conference Tutorials - June 5, 2008

Thursday
5 June
7:00–8:00		 Registration and Continental Breakfast
8:00 - 4:00 TUTORIALS

Thursday
5 June
8:00 –4:00

 

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Data Governance and Master Data Management 
Malcolm Chisholm, Askget.com Inc
Master data management (MDM) relies heavily on data governance to be successful. This tutorial explores the governance processes and infrastructure that need to be put in place for MDM to work. Each of the major components of MDM are examined in turn and their implications in terms of data governance are described. Governance elements that are unique to MDM are distinguished from elements that are more generic. Special attention is paid to the fact that MDM is an enterprise service rather than an application which serves a defined set of business users. Different styles of MDM are compared with different styles of data governance, with emphasis on the enforceability and ease of adoption. Additionally, the importance of data stewardship in master data production is examined.

Attendees will learn:

  • What aspects of data governance relate to MDM
  • Governance processes and infrastructure needed to support MDM
  • How to incrementally implement data governance for MDM
  • Integration of MDM and data governance programs
  • The elements of data stewardship that must be implemented for MDM
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
Askget.com Inc

To Speaker's BIO

Thursday
5 June
8:00 –4:00

 

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Breaking Thru the Politics in Data Governance 
Len Silverston, Universal Data Models
A key to any data governance effort is understanding the personal, cultural, and political environment and consciously employing proven principles to enable success. The most successful data governance efforts usually share one thing in common: they developed and implemented effective strategies that provided fertile cultural and political ground for success.
This seminar will share principles, tools, and techniques to empower participants in meeting objectives and moving toward effective data governance. The instructor will share various insights, showing pitfalls of where data governance efforts can and have gone off course as well as sharing keys to successful data governance efforts. There will be interactive exercises where participants can practice handling difficult issues that commonly arise by applying principles leading to effective data governance.

Participants of this session will gain:

  • An understanding of political and cultural factors for which successful data governance teams need to be aware and prepared
  • Tools, principles and techniques to enable data governance such as keys in understanding motivations, facilitating a common vision, developing trust, and managing conflict
  • Stories of how culture and politics either killed or fostered data governance
  • Exercises allowing participants to practice overcoming challenges that data governance professionals often face.
  • Education and experience in preparing for cultural and political challenges as well as applying powerful techniques for developing more effective environments, in this non threatening, classroom setting.
Speaker:
Len Silverston

Len Silverston
President
Universal Data Models

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