About the Course
Organizations today face a critical paradox: they possess more data than ever before, yet they struggle to trust the insights derived from it. This Data Governance and MDM course addresses this challenge by providing a structured methodology to treat data as a strategic corporate asset rather than a technical byproduct. You will explore the critical intersection of policy and technology, learning how to align data management initiatives with overarching business objectives. The curriculum focuses on building five core domain capabilities: establishing a formal Data Governance Charter, designing multi-domain MDM architectures, implementing automated data quality profiling, managing complex metadata lifecycles, and enforcing data privacy by design. We reference the ISO/IEC 38500 standard for corporate governance of IT to ensure your strategy is globally recognized and defensible at the board level.
This course teaches the implementation of Master Data Management through a practitioner-led approach so you can deliver a unified view of customers, products, and suppliers. What you will learn is a comprehensive system for data excellence: you will practice hands-on data profiling using industry-standard metrics, while being introduced to the strategic selection criteria for MDM technology stacks like Informatica or SAP Master Data Governance. We acknowledge the real-world constraints of budget limitations and stakeholder resistance, providing you with the change management frameworks necessary to embed a data-centric culture. This is not a theoretical overview; it is a technical and strategic deep dive into the mechanics of data authority, ensuring that your organization's data is accurate, consistent, and ready for the demands of the modern digital economy.
Target Audience
This program is designed for experienced professionals responsible for the integrity and strategic utility of enterprise information assets.
This course is designed for:
- Data Governance Managers establishing enterprise-wide data authority frameworks
- MDM Solution Architects designing multi-domain master data hubs
- Chief Data Officers (CDOs) aligning data strategy with business value
- Data Quality Analysts implementing automated profiling and remediation workflows
- Enterprise Architects integrating MDM layers into complex IT landscapes
- Data Privacy Officers ensuring compliance with global data protection mandates
- Lead Data Stewards managing business glossaries and data ownership
- Business Intelligence Leads requiring trusted data for advanced analytics
- Master Data Specialists handling customer and product domain synchronization
- IT Governance Officers mapping data flows to COBIT® 2019 standards
Course Objectives
This course equips you to design, execute, and report on data initiatives that drive operational efficiency and strategic compliance.
By the end of this course, you'll be able to:
- Assess current data maturity levels using the DAMA-DMBOK® Capability Assessment Model
- Apply MDM architectural patterns including Registry, Hub, and Coexistence models
- Construct a formal Data Governance Charter with defined roles and accountabilities
- Develop a comprehensive Data Quality Scorecard using six standard quality dimensions
- Evaluate MDM technology vendors against specific enterprise data requirements and constraints
- Navigate complex data privacy requirements within the Master Data Management lifecycle
- Implement measurable Data Governance KPIs to demonstrate ROI to executive leadership
- Synthesize metadata and data lineage into a centralized, searchable Business Glossary
Requirements & Prerequisites
Participants should have at least 3-5 years of experience in data management, IT audit, or business analysis. Familiarity with SQL and basic database concepts is required. Prior exposure to the DAMA-DMBOK® framework or COBIT® principles is beneficial but not mandatory.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn data management theory into measurable enterprise action.
Methodology includes:
- Hands-on data profiling exercise using a sample enterprise dataset and metrics
- Scenario simulation requiring the resolution of conflicting master data records
- Audit of a sample data environment using the ISO/IEC 38500 standard
- Stakeholder mapping exercise to identify data owners and stewards across functions
- Case study analysis of MDM implementations in banking, retail, and healthcare
- Group workshop to draft a high-level Data Governance Charter and roadmap
- Reflection exercise benchmarking current organizational data maturity against industry standards
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Governance and Master Data Management (MDM) Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master the latest in Data Governance and MDM to future-proof your career.
- Learn practical skills in managing enterprise data assets effectively.
- Equip yourself with cutting-edge techniques to enhance data quality and value.
Expert Delivery
- Taught by industry leaders with decades of experience in data management.
- Gain insights from real-world case studies led by data governance experts.
- Exclusive access to guest lectures from top data strategists in the field.
Career Advancement
- Boost your professional profile with a certification in Data Governance.
- Open doors to senior data management roles with targeted training.
- Leverage your new skills to negotiate higher salaries and leadership positions.
Tools and platforms relevant to this field
Examples United States teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Collibra Data Intelligence Cloud CollibraUsed to create a governed data catalog, assign stewardship responsibilities, and support policy-driven metadata and lineage management across enterprise data domains.
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Informatica Cloud Data Governance and Catalog InformaticaUsed to manage metadata, build a data catalog, and support master data and data quality workflows in large enterprise environments.
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Microsoft Purview MicrosoftUsed to discover, classify, and govern data across cloud and hybrid environments while supporting compliance and access oversight.
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SAP Master Data Governance SAPUsed to centralize master data domains such as customer, supplier, and product records and enforce approval workflows for golden records.
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IBM InfoSphere Master Data Management IBMUsed to maintain a single trusted view of core entities and reduce duplication across operational systems.
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Talend Data Fabric QlikUsed to combine data integration, data quality, and governance capabilities when teams need stewardship and master data controls in one platform.
