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Data Governance Training Workshop

Most companies and organizations have begun defining Data Governance Program strategies and functional roadmaps to effectively govern the integration, the usability, the quality and the risks associated with data and information. These same companies and organizations are looking for a practical and pragmatic approach to Data Governance that will quickly demonstrate value and that will not require the extensive investment of resources.

"Non-Invasive Data Governance"TM, the approach developed by Robert S. Seiner and KIK Consulting, has been accepted into the culture of many companies and organizations through the leveraging of existing strengths while addressing opportunities to improve. "Non-Invasive Data Governance"TM focuses on people-oriented continuous improvement by "formalizing behavior" around the governance of data and does not require tremendous resources to accomplish its goals.

Robert S. Seiner, of KIK Consulting & Educational Services, LLC, based in Pittsburgh, Pennsylvania, has been a specialist in the implementation of "Non-Invasive Data Governance"TM and data stewardship programs, data management programs, data architecture, meta-data management, and knowledge management programs, for more than twenty years.

InfoBlueprint, in association with KIK Consulting LLC in the US, is proud to present a two day Data Governance Training Workshop in Johannesburg. Led by Robert Seiner, founder of KIK Consulting and publisher of The Data Administration Newsletter (www.tdan.com), this will be the most in-depth, intensive and practical Data Governance education ever held in South Africa to date, and is an opportunity not to be missed!

Dates: 31 August - 1 September 2010
Location: Johannesburg. Venue TBA
Cost: R13,850 excl VAT. Early bird rate: R11,800 excl VAT (Early Bird rate now extended to 15th July)
Tel: 021 551 2410
Please act promptly as space is limited!

Click here to reserve your seat: Tammy.Macpherson@infoblueprint.co.za

Programme

 Section 1: Day One Morning

  1. Defining Data Governance & Data Stewardship Definition & Approaches
  2. Defining Data Governance & Data Stewardship Key Concepts of the Non-Invasive Approach
  3. Defining & Conducting Best Practices Assessments, Critical Analysis and Action Planning
  4. Building and/or Enhancing Data Governance Policy, Directives, Guidelines
  5. Framing and Selling a Data Governance & Data Stewardship Program in a Corporate Context
  6. Defining Data Governance & Data Stewardship Program Business and Technical Goals and Objectives
  7. Defining Measurements and Metrics of Data Governance/Stewardship Success

 Section 2: Day One Afternoon

  1. Defining Data Governance & Data Stewardship Program Critical Success Factors
  2. Contending with Organizational (In)Tolerance for Change
  3. Defining a Sustainable Framework of Data Governance & Stewardship Roles & Responsibilities
  4. Defining Organizational Time Commitments & Tasks - What does it really take?
  5. Engaging Stewards & Staff at the Operational, Tactical, Strategic, Executive and Support Levels
  6. The Pivotal Roles: The Data Domain Stewards & The Data Steward Coordinators
  7. Formation of the Data Governance Council: Participants, Meetings, Actions, Council Ownership
  8. Managing Data by Domains, Master Data Areas and Subject Area
  9. Identifying Vs. Assigning Appropriate Data Stewards, Steward Criteria and Traits

 Section 3: Day Two Morning

  1. Developing Data Governance & Data Stewardship Tools, Work Flow, Process / Methodology Integration
  2. Engaging Stewards Through Business Process, Standard Operating Procedures, Methodologies
  3. Engaging Stewards Through Issue Resolution and Quality Management
  4. Work Flow & Process Integration Through Proactive and Reactive Data Governance
  5. Developing Data Conflict Resolution Paths - Design, Production, Usage Conflicts
  6. Developing Conceptual Meta-Models to Support Governance/Stewardship Programs
  7. Identifying Sources of Data Steward Meta-Data and Mapping to the Meta-Model
  8. Recording and Managing Data Stewardship Meta-Data
  9. Developing Data Stewardship Change Management Procedures and Notification

 Section 4: Day Two Afternoon

  1. Implementing a Common Data Matrix, Data Governance Activity Matrix, DQ & Issue Log, ...
  2. Understanding Data Governance & Data Stewardship Beyond Structured Data
  3. Identifying the "Best" Place to Start a Data Governance & Data Stewardship Program (if necessary)
  4. Developing Next Steps / Action Plan to Build "Non-Invasive Data Governance" Program
  5. Developing a Plan to Market Data Governance & Data Stewardship to the Organization