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To inquire about scheduling this course - click here. Course Description Data Stewardship programs are implemented to reduce information technology costs and improve the value companies gain from their data assets. Stewardship programs focus on improving data quality, reducing data duplication, formalizing accountability for data, and improving business and IT productivity. An effective Data Stewardship program will rapidly improve the ROI from data warehousing and business intelligence efforts, application integration efforts, ERP, CRM, content and knowledge management, and EAI efforts. Students of this class will learn about the components of an effective Data Stewardship program and how to immediately formulate a strategy that can deliver results with minimal investment. Audience Students should be in a position to define a data stewardship program and policy for their company. Students may include CIOs, IT Directors, Business and Data Managers, Solution Architects, Data Architects, and Consultants that are charged with reduction of Information Technology costs and IT / Data Quality Improvement.
Updated Topics
A.
Day One Morning Approximately 3 to 3.5 hours
·
Defining Data Governance and Data Stewardship
Approaches (Non-Invasive, 3-D, 2x4,
)
·
Keeping Data Governance Practical in the
Organizational Context
·
Defining Data Governance & Data Stewardship, Key
Concepts & Best Practices
·
Building and/or Enhancing Data Governance Policy,
Directives, Guidelines
·
Framing/Selling a Data Governance/Stewardship
Program in a Corporate Context
·
Defining Data Governance/Stewardship Program
Business and Technical Goals and Objectives
·
Defining Measurements and Metrics of Data
Governance/Stewardship Success
B.
Day One Afternoon Approximately 3 to 3.5 hours
·
Defining Data Governance/Stewardship Program
Critical Success Factors
·
Contending with Organizational (In)Tolerance for
Change
·
Defining Data Stewardship Program Management
Roles, Responsibilities, Time Commitments
·
Defining Participating Data Steward Roles &
Responsibilities, Time Commitments and Tasks
·
Managing Data by Domains, Master Data and Subject
Area · Identifying Vs. Assigning Appropriate Data Stewards, Steward Criteria and Traits
B.
Day TWO MORNING Approximately 3 to 3.5 hours
·
Developing Data Governance/Stewardship Tools, Work
Flow, Process/Methodology Integration
·
Work Flow & Process Integration Through Proactive
and Reactive Data Governance
·
Developing Conflict Resolution Paths Design,
Production, Usage Conflicts
·
Developing Conceptual Meta-Models to Support
Governance/Stewardship Programs
·
Identifying Sources of Data Steward Meta-Data and
Mapping to the Meta-Model
·
Recording and Managing Data Stewardship Meta-Data
·
Developing Data Stewardship Change Management
Procedures and Notification
Day Two Afternoon
·
Implementing a Common Data Matrix, Data Governance
Activity Matrix, DQ & Issue Log,
·
Understanding Data Governance/Stewardship Beyond
Structured Data
·
Identifying the Best Place to Start a Data
Governance/Stewardship Program (if necessary)
·
Developing Next Steps/Action Plan to Build Data
Governance/Stewardship Program · Developing a Plan to Market Data Governance/Stewardship
Take Aways or Course Deliverables This is a solution-focused course. Expected deliverables will include
Pre-RequisitesStudents should have a background, knowledge and understanding of data and information management terminology, principles and best practices. To inquire about scheduling this course - click here. Contact InformationRobert S. Seiner
rseiner@kikconsulting.com
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![]() KIK Consulting & Educational Services, LLC, P.O. Box 112571, Pittsburgh, PA 15241 412.220.9643, Fax 9644, rseiner@kikconsulting.com Copyright © 2007 KIK Consulting & Educational Services, LLC - All Rights Reserved |
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