About
Data Governance is the cornerstone of a successful enterprise data management strategy. Based on the globally respected DAMA Data Management Body of Knowledge (DAMA-DMBOK®), this focused course explores how to design, deploy, and sustain an effective data governance programme across the organisation.
This course is designed to prepare you for the DAMA International 32442 Data Governance certification exam, equipping you with the theoretical knowledge and practical understanding needed to pass the exam and apply its principles in real-world contexts.
As defined by DAMA-DMBOK®, data governance is “the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets.” It is essential to the alignment of data initiatives with business objectives, the enforcement of policy and accountability, and the assurance that data is treated as a true asset.
Drawing from the influential framework outlined in Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program, this course equips professionals with the knowledge to ensure data governance becomes an enduring, embedded business capability rather than a temporary project.
Where is this course available?
This course is available In-Person in Doha, Qatar, Dubai, Abu Dhabi in UAE & Riyadh in Saudi Arabia, Muscat in Oman and Amman in Jordan as well as being available Online Worldwide.
Learning Objectives
Understand the purpose and principles of data governance according to DAMA-DMBOK®
Explore how data governance supports the management of data as a strategic asset
Design a sustainable governance framework aligned with business needs
Define roles, responsibilities, and operating models for governance across the organisation
Integrate data governance into business-as-usual operations, avoiding common pitfalls
Navigate change management and stakeholder engagement effectively
Measure success and demonstrate the business value of governance initiatives
Be fully prepared to sit the DAMA International 32442 Data Governance certification exam
Who Is This Training Course For?
This course is ideal for professionals across multiple roles and industries, including:
Data Governance Leads, Stewards and Analysts
Chief Data Officers (CDOs) and Data Managers
Enterprise and Information Architects
Compliance, Risk and Audit Officers
Project and Change Managers working on data initiatives
Professionals in regulated industries such as healthcare, finance, energy, and government
Consultants seeking to implement data governance frameworks for clients
Why Should You Take This DAMA Data Governance Course?
Learn how to implement and sustain a data governance programme that goes beyond theory
Prepare with confidence for the DAMA International 32442 certification exam with coverage of all core domains
Avoid common failure points by building stakeholder engagement and long-term capability
Explore real-world examples of successful governance initiatives and how to align them with strategic business objectives
Gain language and tools to make the case for governance investment and improvement
Apply DAMA-DMBOK® principles to your own organisation with clarity and confidence
Prerequisites
There are no formal prerequisites to take this course.
However, this is a focused course designed for professionals with a strong foundational understanding of data management.
A working knowledge of DAMA DMBOK® concepts and experience in data-related projects will ensure maximum benefit from this programme.
Please note that MENA Executive Training is an independent training provider and is not affiliated with or endorsed by DAMA International. This course is intended solely to help participants prepare for the DAMA International certification examination.
Modules
Module 1: Introduction to Data Governance and the DAMA Framework
What is Data Governance? Definitions and Purpose
Overview of DAMA-DMBOK2 and the Governance Functional Area
Key components of a data governance programme
The business case for governance: from compliance to competitive advantage
Activities:
Group discussion: "Why do governance programmes fail?"
Workshop: Map data problems in your organisation to governance gaps
Module 2: Roles, Responsibilities and Organisational Structures
Key governance roles: Data Owner, Steward, Custodian, Governance Council
Accountabilities vs Responsibilities
Centralised, decentralised and federated governance models
Separation of duties: the “Governance V”
Activities:
Role mapping exercise for a sample organisation
Create a RACI matrix for a data quality issue escalation process
Module 3: Principles, Policies and Standards
Data governance principles (GAIP™ and DAMA-DMBOK2-aligned)
From principles to enforceable policy
Types of governance policies and data standards
Ensuring adoption and enforcement
Activities:
Draft example data principles for your organisation
Translate a principle into a measurable policy
Module 4: Data Governance Operating Models
Designing your governance framework
Engagement models and stakeholder alignment
Issue management and escalation paths
Governance metrics and performance monitoring
Activities:
Design an operating model for a governance council
Draft an issue resolution workflow
Module 5: Governance Across the Data Lifecycle
Applying governance to data creation, usage, sharing, retention and disposal
Governance touchpoints in data movement, storage and analytics
Data lifecycle and the importance of lineage
Managing unstructured data and external data sources
Activities:
Map governance controls across a sample data lifecycle
Review and critique a data retention schedule
Module 6: Governance and Related Disciplines
Data Quality, Metadata, Privacy, Security and Master Data
How governance supports and integrates with other domains
Aligning data governance with enterprise information management (EIM)
Governance in agile and hybrid development environments
Activities:
Analyse how data governance supports GDPR compliance
Group case study: resolve a quality issue using governance and stewardship
Module 7: Communication, Change Management and Culture
Building a culture of accountability
Communicating governance value to executives and staff
The role of training, awareness and advocacy
Overcoming resistance and governance fatigue
Activities:
Develop a stakeholder communication plan
Write an “elevator pitch” for data governance
Module 8: Sustaining and Measuring Your Data Governance Programme
Governance maturity models and assessments (e.g., DMMA)
Metrics for governance effectiveness and business value
Maintaining momentum: audits, reviews, and feedback loops
Evolving governance as the business grows
Activities:
Assess your organisation using a maturity model
Design a governance dashboard with key metrics
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Gain an Official Data Management Global Certificate
Share your credential on LinkedIn
Your certification.
Receive a verifiable certification from an accredited certifying body.
Showcase your achievement on LinkedIn and your CV.
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Exam Details
Our Data Governance Training Course specifically prepares you for the DAMA International 32442 – Data Governance Certification Exam.
After taking our course we will guide you to book the certification exam at your own convenience:
Exam Code: 32442
Certification Body: DAMA International
Exam Purpose: Assesses knowledge and application of Data Governance as defined in the DAMA-DMBOK2 framework
Target Audience: Data governance professionals, data stewards, information architects, compliance managers, and candidates pursuing CDMP® certification with a focus on governance
Exam Format: Multiple-choice questions
Number of Questions: 100
Duration: 90 minutes
Passing Score: 70%
Question Types:
Scenario-based questions
Terminology and definitions
Application of best practices
Roles and responsibilities
Framework alignment and organisational structure
Exam Delivery: Online or in-person at authorised test centres
Difficulty:
60% Associate level (understanding DMBOK2 concepts)
20% Practitioner level (application in practical settings)
20% Master level (strategic implementation and governance maturity)
Topics Covered:
Data Governance roles and responsibilities
Governance frameworks and operating models
Policies, principles, and standards
Communication, training, and awareness
Ethics and regulatory considerations
Integration with other data management functions
Maturity assessment and continuous improvement
Course Study Options
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