DAMA Specialist Exam: Data Governance
Data Governance is not a project; it is a foundational business capability. It provides the authority, oversight, and formalization required to manage data as a truly strategic asset. This course provides an intensive deep-dive into the DAMA Data Governance Framework, moving beyond theoretical definitions to the practical implementation of governance in a modern enterprise
What You Will Master:
You will learn how to design a sustainable Data Governance Office (DGO), define clear roles and responsibilities, and bridge the gap between IT and Business. Whether you are launching a new program or reviving a stalled one, this course equips you with the tools to ensure data is managed with accountability, transparency, and strategic alignment.
Who Should Attend?
Whether you’re starting your career or already leading data strategy, this course helps you grow.
- Aspiring Professionals | Build a strong foundation
- Mid-Career Experts | Validate your real-world experience
- Data Leaders | Establish credibility and leadership in the field
- Consultants & Trainers | Demonstrate your authority to clients
Upcoming Courses
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Course Outline
The DAMA Specialist Exam prep course for Data Governance, based on the DAMA Body of Knowledge (DMBOK), validates your expertise in data governance across:
- The Governance Mandate
- What is Governance? Distinguishing between Management (doing things right) and Governance (ensuring the right things are done).
- Business Drivers: Aligning governance with risk management, regulatory compliance (GDPR/Jordan Data Privacy Law), and operational efficiency.
- The DAMA-DMBOK2 Principles: Directing, controlling, and supervising the data management lifecycle.
- The Operating Model & Roles
- Organizational Structures: Centralized vs. Decentralized vs. Federated governance models.
- The Governance Hierarchy.
- Defining the RACI Matrix: Who is Responsible, Accountable, Consulted, and Informed?
- Strategy, Policy, and Standards
- Developing a Data Strategy: Creating a roadmap that delivers value to the business.
- Drafting Data Policies: How to write enforceable rules that people actually follow.
- Establishing Standards: Defining the “must-haves” for naming conventions, modeling, and security.
- Implementation & Value Realization
- The Roadmap: From the first pilot project to enterprise-wide adoption.
- Change Management: Addressing the “culture” problem—how to overcome organizational resistance.
- Measuring Success: Developing Data Governance KPIs and Scorecards to prove ROI to the board.
- The Tools of the Trade
- The Data Governance Toolbox: Overview of Data Catalogs, Business Glossaries, and Lineage tools.
- Integration: How Governance empowers Data Quality, Security, and Master Data Management.