Meeting/Event Information


March 28, 2019

ANNE MARIE SMITH Data Governance - 8 Critical Steps to Success
March 28, 2019
8:30 AM - 12:30 PM
105 E 17TH St 1st FL Training Room 191
New York, NY 00000
ANNE MARIE SMITH Data Governance - 8 Critical Steps to Success

$0.00 member ticket

$20.00 non-member ticket

Reminder meeting is at 105 E 17TH St 1st FL Training Room 191


Data Governance – 8 Crucial Steps to Success

Anne Marie Smith, Ph.D.

[email protected]

Critical assets of any organization should be considered as valuable a resource as buildings, employees and products.  For a company to gain a significant competitive advantage, it must focus on managing and using its data effectively. Data governance and the management of information assets are essential parts of any relevant data strategy for the 21st century.


This 2-hour presentation will offer a methodology for a successful data governance program that includes eight crucial steps.  Also, the presentation will identify ways to customize common data governance organizational models, and note the roles and responsibilities to reflect the unique approaches of an attendee’s organization.

Here is the schedule for the meeting:

8:30 AM - Registration and Breakfast
9:00 - 9:15 Welcome introduction
9:15 - 10:30 Presentation Part One
10:30 - 10:45 Break
10:45 - 12:00 Presentation Part Two
12:00 - 12:15 Q & A


Presentation Topics:


  • The importance of methodology in a successful data governance program
    • Data Governance basics: what it is, what it isn’t, why it is essential
    • Role of data governance in successful information management and successful 21st century enterprises
    • Major cultural problems encountered by organizations in instituting data governance: the problem, the solution, the result
  • The value of missions and goals in data governance programs
  • Importance of business-driven data governance
  • Data stewardship roles in data governance models
  • Data governance program office importance
  • Crucial steps to successful data governance implementation
  • Challenges to successful data governance – and how to overcome them
  • Conclusion, resources for additional study

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