DG0: Data Governance Learning Plan

In the Data Governance Learning Plan, instructor Kelle O’Neal helps to build fundamental knowledge of a Data Governance program. This series of seven courses highlights the foundational elements of Data Governance, the role of data stewards, how to develop a Data Governance framework and operating model, how to structure policies and procedures, where Data Governance sits within the overall Data Management of an organization, and many other topics. If all seven courses are completed, a certificate of completion will be issued.


Learning Plan CEUs: 7.0 hours

Each Course Includes:

  • A 35- to 55-minute educational training video
  • A 15- to 17-question exam
  • Materials made available for download once the exam has been completed
  • Self-paced and on-demand e-learning
  • Unlimited course access

Courses within the Data Governance Learning Plan:

  1. Getting Started Governing Data – The Data Governance Framework
  2. Creating a Data Governance Operating Model
  3. Data Governance Roles & Responsibilities
  4. Data Stewards
  5. Data Governance Policy
  6. Data Governance Best Practices
  7. Data Governance and Its Relationship to Other Data Management Activities

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About the Instructor

Kelle O’Neal is the Founder and CEO of First San Francisco Partners, an information management consulting firm. She is a veteran industry leader and accomplished advisor, as well as a noted speaker, author and trainer. Kelle is passionate about helping organizations realize the business value of data — and empowering them to derive insights that can improve operational efficiency and decision-making, generate new revenue and mitigate risk and fraud. Her strong background in customer relationship management, enterprise software and systems integration uniquely positions her to excel in helping organizations of all sizes and complexities successfully execute on Data Governance, Organizational Change Management, Master Data Management, Data Insights and Analytics and other information management initiatives.

Data Governance Learning Plan

DG1: Getting Started Governing Data—The Data Governance Framework 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents 
  • Data Governance Fundamentals 
    • Why is Data Governance Important? 
      • Internal vs. External pressures 
    • Data Governance Definition 
  • Governance Frameworks 
    • Data Governance Framework – Visual / Semantic Breakdown 
    • Enterprise Data Management 
    • The Big Picture: Enterprise Information Management (EIM) Framework 
    • Technology and Governance 
      • Must Have “Tools” 
    • Success Factors for Sustainable Data Governance 
    • Obstacles 
  • Business Drivers 
    • Key Business Drivers 
    • Aligning Benefit to Value
  • Risks, Pitfalls and Success Factors 
    • Risk of Not Governing Data – Categories of Risk 
    • “Watch out for…”: Pitfalls and Best Practices 
    • Factors for Ensuring Success 
  • Back to Basics – the Data Governance Program 
    • Data Governance Design Principles 
    • Getting Started with Data Governance
  • Course Recap and Progress Overview 

DG2: Creating a Data Governance Operating Model 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • Operating Model Definition 
  • Establishing the Organization 
    • Don’t Base Data Governance on Individuals 
    • Process to Create an Operating Model 
  • Data Governance Operating Models 
    • Types of Operating Models 
      • Centralized Operating Model 
      • Decentralized Operating Model 
      • Hybrid Operating Model 
      • Federated Operating Model 
    • Operating Model Roles and Responsibilities 
    • Operating Model Communications – Top-Down & Bottom-Up 
  • Making it Work - Sample Operating Models 
    • Sample Enterprise Operating Model I 
    • Sample Enterprise Operating Model II 
    • Sample Program Operating Model 
    • Sample Multi-Domain Operating Model II 
  • Scaling for the Future 
    • Scalability at the Data Domain 
    • Use Case – Account Local Data Governance Alignment 
  • Keys to Success 
    • Selecting the Right Operating Model 
    • Keys to a Successful Data Governance Organization 
  • Course Recap and Progress Overview 

DG3: Data Governance Roles & Responsibilities 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • Reference Operating Model 
  • Core Data Governance Roles 
    • Supporting Roles 
  • Leadership Roles & Decision-Making Bodies 
    • Executive Sponsor (Business & IT) 
    • Data Governance Steering Committee 
    • Data Governance Working Group 
  • Data Governance Roles 
    • Data Owner 
    • Business Steward Lead 
    • Data Stewards (Business) 
    • Data SME (Business & IT) 
    • Business Data Analyst 
    • Support Roles 
      • Data Librarian & Data Users 
  • The Data Governance Office (DGO) 
    • DGO Lead 
    • DGO Coordinator/Program Manager 
  • IT Data Governance Roles 
    • DGO – IT Lead 
    • Data Management IT Support Group 
    • Technical Data Steward (IT Support Partner) 
  • Best Practices 
    • Points for Ensuring Success 
  • Course Recap and Progress Overview 

DG4: Data Stewards 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • The Data Governance Working Group (DGWG) 
    • Recap: Key DG Roles Covered in this Module 
    • DGWG Deliverables 
      • Proactive, Ongoing, Reactive 
    • The Data Steward and Local DGWG 
      • From Operating Model to Local DGWG 
    • Forming a Local DGWG 
      • Visual & Semantic Overview of Roles & Responsibilities 
    • Launching the Working Group 
      • Action Items & RACI Chart Overview 
    • Typical DGWG Status Meeting Agenda 
      • Plans, Priorities, & Action Items 
  • A Day in the Life of a Data Steward 
    • Detailed Roles & Responsibilities for the Data Steward 
    • Day in the Life of Data Governance 
    • Data Steward Support & Interactions 
  • Operational Data Governance 
    • Sustain & Support – DG Intake Model (Front Door) 
    • Data Stewardship at the Center of the DG Program 
  • Factors for Ensuring Success 
  • Course Recap and Progress Overview 

DG5: Data Governance Policy 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • DG Basics: Principles, Policies, Processes & Standards 
  • Starting at the Top: Guiding Principles 
    • Principle Categories 
    • Example: Alignment with Corporate Strategic Objectives 
    • Example: Statements of Conviction 
    • Example: Principles for Data Governance Capabilities 
    • Creating Guiding Principles 
  • Crafting Policies 
    • Definition & Common Policies 
    • Creating Policies: Components of a Policy 
    • Linking Policies to the Implementation Plan 
    • Re-useable Policies, Standards, and Processes 
  • Factors for Ensuring Success 
  • Course Recap and Progress Overview 

 DG6: Data Governance Best Practices 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • Ensure Sustainability 
    • Why It Matters 
    • Ensuring DG Sustainability Factors: Incorporate, Align, Embed, Focus 
  • 5 Pitfalls to Avoid 
    • Governing Data from Within IT 
    • Governing Data in Silos 
    • Assuming an Understanding of the Value of Data 
    • Using Meaningless Metrics 
    • Treating Data Governance as a Project 
  • Best Practices to Adopt 
    • What To Do Instead – List of Best Practices 
    • Identify a Change Leader from Business 
    • Critical Success Factors 
      • Grow Beyond the Silo 
      • Establish Enterprise Governance 
      • Communicate: Early, Often, & Regularly 
        • Why is Communication Important? 
      • Translating Data into Business Value 
      • Components of a Communication Plan 
    • Measure Impact as well as Progress: Metrics & KPIs 
      • Process to Establish Metrics 
      • Metrics/KPIs Examples
    • Embed Data Governance into Your Operations 
      • Sample: Embed Data Governance Into Your Project Methodology 
      • Sample: Embed Data Governance with Change Initiators/Control 
  • Best Practices Summary 
  • Course Recap and Progress Overview 
  • Additional Items: 
    • Glossary 
    • Translate Metrics into Business Value 
    • Connect for Your DG Best Practices 

DG7: Data Governance & Its Relationship to Other Data Management Activities 

  • Data Governance Learning Plan – Courses Overview 
  • Course Goals 
  • Course Table of Contents  
  • Enterprise Data Management (EDM) 
    • The Scope of EDM 
    • Symbiotic Relationship: Data Management & Data Governance 
    • Expanding the Data Governance Office 
  • Data Governance, MDM & Reference Data Management 
    • MDM & Data Governance 
      • The Role of Governance 
      • Data Governance and MDM Work Together 
      • Data Governance Working Support Groups Master Data 
      • Governance Decisions for MDM 
    • Reference Data Management Definition 
      • Delivering Reference Data Management 
  • Data Governance & Metadata 
    • Metadata Management Concepts 
    • Data Governance Enables Metadata Management 
  • Data Quality 
    • Definition & Visual Process 
    • Data Quality Dimensions 
    • Data Quality & Data Governance Work Together 
  • Wrapping Things Up 
    • Data Governance Operating Model Supports All Data Management Activities 
    • Data Governance and Data Management Embedded into Project Methodology 
    • Partnering for Success: Data Governance and Data Management 
      • Data Governance Support System for Data Management 
  • Course Recap and Learning Plan Review 
Milestone

Complete All Seven Data Governance Courses


1. DG1: Getting Started Governing Data – The Data Governance Framework

required
Course

To better leverage Data Governance, the essentials must first be understood. This course covers the fundamental principles of Data Governance, including frameworks, program basics, obstacles, and more.

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2. DG2: Creating a Data Governance Operating Model

required
Course

Operating models are central components of a successful Data Governance program. An operating model establishes the framework and consensus for creating roles and responsibilities that make up a Data Governance organization. This course covers the many elements included in developing an operating model. A sample model is used as a frame of reference.

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3. DG3: Data Governance Roles and Responsibilities

required
Course

There are many roles and responsibilities within a Data Governance organization. This course presents the primary roles involved in a standard Data Governance program, including the executive sponsors, Data Governance Steering Committee, Data Governance Working Group, data owners, data stewards, business analysts, and many others.

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4. DG4: Data Stewards

required
Course

Data stewards are key players within a successful Data Governance program. This course examines the practical aspects of the data steward role, the many different types of data stewards, how they support the Data Stewardship function within an organization, and where they fit within the Data Governance Working Group.

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5. DG5: Data Governance Policy

required
Course

Developing effective Data Governance principles, policies, standards, and processes is not a simple task, but they are all key elements within a program. This course examines the differences between these program components, how to craft them, and steps to ensure successful implementation.

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6. DG6: Data Governance Best Practices

required
Course

Sustainable Data Governance takes a concerted approach. An essential element to such an approach is creating and implementing effective best practices. This course presents five key best practices to adopt and five pitfalls to avoid, all presented within a framework of real-world examples.

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7. DG7: Data Governance and Its Relationship to Other Data Management Activities

required
Course

Making sure that a Data Governance program works within an organization takes coordination with the business and many other Data Management areas. This course looks at the role of Data Governance between and within Master Data Management, Reference Data, Metadata Management, Data Quality, Enterprise Data Management, and the business as a whole.

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