About the Course
Modern organizations frequently struggle with fragmented data silos, inconsistent definitions, and the escalating burden of global privacy regulations. This course addresses these challenges by providing a comprehensive roadmap for establishing a formal Data Governance Framework. You will move beyond ad-hoc data management to a structured system that ensures accountability across the entire information lifecycle. During this program, you will gain the ability to define data ownership, implement metadata management strategies, and conduct data quality audits using industry-standard metrics. We focus on the practical application of the DAMA-DMBOK knowledge areas, ensuring you can demonstrate immediate value to leadership through improved data reliability and reduced compliance costs.
You will learn to design operating models that balance centralized control with decentralized agility, a critical requirement for modern digital workflows. The curriculum covers the implementation of Data Stewardship programs, the creation of Data Lineage maps, and the integration of AI-powered data discovery tools. This course is designed for professionals who must deliver results under tight regulatory scrutiny and complex technical environments. You will practice hands-on techniques for data profiling and risk assessment, while being introduced to advanced concepts in master data management and information lifecycle governance. By synthesizing these elements, you will be prepared to lead governance initiatives that support both operational efficiency and strategic innovation.
Target Audience
This program is essential for professionals responsible for the integrity, security, and strategic value of organizational information assets.
This course is designed for:
- Data Governance Managers establishing formal stewardship programs
- Information Security Officers aligning governance with risk frameworks
- Data Quality Analysts implementing automated profiling and monitoring
- Compliance Officers managing GDPR or industry-specific data mandates
- Enterprise Architects designing scalable information asset architectures
- Master Data Leads managing core entity consistency across systems
- Metadata Specialists building searchable and governed data catalogs
- Business Intelligence Leads ensuring report accuracy and lineage
- Chief Data Officers developing long-term information strategy roadmaps
- Data Stewards responsible for day-to-day data asset maintenance
Course Objectives
This course equips you to design, implement, and manage data governance initiatives that improve data quality, ensure compliance, and support strategic goals.
By the end of this course, you'll be able to:
- Assess organizational data maturity using the CMMI Data Management Maturity model
- Apply DAMA-DMBOK principles to create a formal Data Governance Charter
- Design a Data Stewardship operating model tailored to organizational culture
- Construct a Data Quality Scorecard using standardized accuracy and completeness metrics
- Map Data Lineage across complex systems to ensure traceability and transparency
- Navigate global privacy requirements including GDPR and ISO/IEC 27701 standards
- Implement a Metadata Management strategy using automated discovery and cataloging tools
- Synthesize governance findings into executive-level dashboards for strategic reporting
Requirements & Prerequisites
Participants should have a basic understanding of database concepts and at least two years of experience in a business or technical role involving data management. No programming knowledge is required, but familiarity with Excel or basic data analysis tools is recommended.
Local Application and Business Return in your market
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 governance aspirations into measurable action and credible reporting.
Methodology includes:
- Hands-on data profiling exercise using a sample organizational dataset
- Scenario simulation requiring governance decisions during a data breach
- Maturity assessment workshop using the DAMA-DMBOK evaluation framework
- Stakeholder mapping exercise for establishing a Data Governance Council
- Case study analysis from the financial, healthcare, and retail sectors
- Group workshop producing a draft Data Governance Policy document
- Reflection exercise benchmarking current practices against ISO/IEC 38500 standards
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data and Information Governance Training 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.
Career Advancement
- Boost your resume with accredited data governance qualifications.
- Prepare for leadership with advanced information governance skills.
- Open doors to senior IT roles with specialized governance expertise.
Expert-Led Instruction
- Learn from industry leaders with decades of data governance experience.
- Gain insights from real-world case studies by top data strategists.
- Access direct mentorship opportunities from governance experts.
Practical Skills Application
- Implement real data governance projects to enhance learning outcomes.
- Acquire hands-on experience with the latest compliance tools and technologies.
- Master practical strategies for managing complex data ecosystems.
Tools and platforms relevant to this field
Examples local 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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Microsoft Purview MicrosoftUsed for data cataloging, classification, lineage, and governance controls across Microsoft-centric data estates.
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Collibra Data Intelligence Cloud CollibraUsed to centralize data governance workflows, stewardship, policy management, and business glossary capabilities.
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Informatica Intelligent Data Management Cloud InformaticaUsed for data catalog, metadata management, data quality, and governance automation in enterprise environments.
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Alation Data Intelligence Platform AlationUsed to improve data discovery, stewardship, and trusted self-service access to governed data.
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SAP Master Data Governance SAPUsed where master data consistency and governance are required across finance, supply chain, and operational systems.
