About This Course
In an era where data underpins every strategic decision, organisations that fail to govern their data assets effectively face significant operational, financial, and reputational risks. Poor data quality, uncontrolled data access, unclear data ownership, and non-compliance with data protection regulations are not abstract threats — they translate directly into failed projects, regulatory penalties, and lost competitive advantage. Building a coherent data governance framework is no longer optional; it is a foundational capability for any organisation serious about digital transformation.
TrainingComplex's Data Governance and Management Frameworks Training is a focused, practitioner-oriented programme designed to give professionals the skills to establish and operationalise data governance at an enterprise level. The course draws on globally recognised frameworks — including DAMA-DMBOK, the COBIT data governance model, and ISO 8000 — adapting them to the realities of organisations operating in diverse regulatory and technological environments.
Participants will learn how to define data ownership and stewardship roles, create data policies and standards, implement data quality controls, manage metadata, and align data governance activities with broader organisational strategy. The programme also addresses the governance of sensitive and personal data in line with applicable data protection legislation, including considerations relevant to GDPR-aligned regimes across Africa, the Middle East, and beyond.
By the end of the programme, delegates will be equipped to make an immediate impact — whether they are building a governance function from scratch, strengthening an existing one, or advising leadership on how to treat data as a managed, strategic asset.
Who Should Attend
- Data Governance Officers and Data Stewards
- Chief Data Officers and Data Management Leads
- IT Managers and Enterprise Architects
- Business Analysts and Data Analysts responsible for data quality
- Compliance and Risk Officers handling data-related regulations
- Information Security Professionals
- Project Managers leading digital transformation or data initiatives
- Senior managers seeking to understand data governance strategy and oversight
Learning Objectives
- Understand the core principles, terminology, and business case for formal data governance
- Map and apply major data governance frameworks including DAMA-DMBOK, COBIT, and ISO 8000
- Design a data governance operating model with clear roles, responsibilities, and decision rights
- Develop and implement organisational data policies, standards, and classification schemes
- Establish data stewardship programmes and assign accountability for data domains
- Apply data quality management techniques to assess, measure, and improve data integrity
- Manage metadata and data catalogues to support discoverability and lineage tracking
- Align data governance with data protection legislation and regulatory compliance requirements
- Integrate data governance with enterprise architecture and digital transformation strategies
- Monitor and report on data governance performance using meaningful metrics and dashboards
- Build a business case and change management strategy for embedding data governance culture
Course Modules
Module 1: Foundations of Data Governance
- Defining data governance: scope, purpose, and business value
- Distinguishing data governance from data management and IT governance
- The data governance maturity model: assessing where your organisation stands
- Key drivers: regulatory pressure, digital transformation, and data strategy
- Core concepts: data domains, data assets, data lifecycle, and data lineage
- Building the business case for a formal data governance programme
Module 2: Data Governance Frameworks and Standards
- Overview of DAMA-DMBOK: the eleven knowledge areas explained
- COBIT and its application to data governance and information management
- ISO 8000 data quality standards and their practical relevance
- The Data Management Maturity (DMM) model from CMMI Institute
- Selecting and tailoring a framework to your organisation's size and sector
- Gap analysis: comparing current practices against a chosen framework
Module 3: Data Governance Operating Models
- Centralised, federated, and hybrid governance models compared
- Establishing a Data Governance Council: membership, mandate, and meeting cadence
- Defining data ownership: enterprise data owners and domain data owners
- Data stewardship: types of stewards, selection criteria, and onboarding
- Decision rights and the RACI matrix for data governance activities
- Governance by design: embedding governance into organisational processes
Module 4: Data Policies, Standards, and Classification
- Anatomy of a data governance policy: components, language, and approval process
- Developing data standards for naming conventions, formats, and definitions
- Data classification frameworks: confidential, internal, public, and restricted tiers
- Data retention and disposal policies aligned with legal obligations
- Policy implementation: communication, training, and enforcement mechanisms
- Version control and lifecycle management of governance documentation
Module 5: Data Quality Management
- The six dimensions of data quality: accuracy, completeness, consistency, timeliness, validity, and uniqueness
- Designing a data quality assessment programme from profiling to scoring
- Root cause analysis techniques for recurring data quality problems
- Data quality rules, thresholds, and automated monitoring controls
- Data cleansing strategies: deduplication, standardisation, and enrichment
- Reporting data quality metrics to leadership and stakeholders
Module 6: Metadata Management and Data Cataloguing
- Types of metadata: business, technical, operational, and process metadata
- The role of a data catalogue in enabling discoverability and self-service analytics
- Building and maintaining a business glossary and data dictionary
- Data lineage: tracing data from source to consumption across systems
- Metadata governance: ownership, standards, and update responsibilities
- Tool landscape overview: open-source and enterprise data catalogue solutions
Module 7: Master Data Management and Reference Data
- Defining master data and its strategic importance to organisational coherence
- MDM architectures: registry, consolidation, coexistence, and authoritative source models
- Identifying master data domains: customer, product, supplier, employee, and location
- Reference data management: code lists, lookup tables, and controlled vocabularies
- MDM implementation considerations: technology, process, and change management
- Integrating MDM with ERP, CRM, and analytics platforms
Module 8: Data Protection, Privacy, and Regulatory Compliance
- Key data protection legislation: GDPR, Kenya's Data Protection Act, Nigeria's NDPR, and POPIA
- Privacy by design principles and their integration into data governance frameworks
- Data subject rights and how governance processes support their fulfilment
- Data breach response: governance responsibilities and notification obligations
- Cross-border data transfer rules and compliance governance controls
- Building a data protection impact assessment (DPIA) process
Module 9: Data Governance in the Context of Digital Transformation
- How data governance enables and de-risks cloud migration and adoption
- Governing data in hybrid and multi-cloud environments
- Data governance considerations for AI, machine learning, and advanced analytics
- API governance and the management of data shared across systems and partners
- Data governance for real-time and streaming data environments
- Aligning data governance with enterprise architecture and technology roadmaps
Module 10: Measuring, Sustaining, and Maturing Data Governance
- Defining key performance indicators for data governance effectiveness
- Designing a data governance dashboard for executive and operational reporting
- Conducting periodic data governance health checks and maturity assessments
- Change management strategies for embedding a data-conscious organisational culture
- Scaling governance as data volumes, sources, and use cases grow
- Building a 90-day implementation roadmap tailored to your organisation
Requirements & Prerequisites
Participants should have a basic familiarity with organisational data environments, such as experience working with databases, reporting systems, or business information tools. A foundational understanding of IT systems or business operations is recommended. No prior formal training in data governance is required, making this course suitable for professionals transitioning into a data governance role as well as those looking to formalise existing practices.
Training Methodology
- Framework mapping exercises where participants analyse and compare DAMA-DMBOK, COBIT, and ISO 8000 against their own organisational context
- Case study analysis of data governance successes and failures drawn from public sector, financial services, and healthcare organisations in Africa and the Middle East
- Role-based simulation in which participants take on the personas of Data Owner, Data Steward, and Data Custodian to resolve realistic governance disputes
- Hands-on data quality assessment using sample datasets to identify anomalies, apply scoring models, and design remediation plans
- Group workshop to draft a data governance charter, data classification policy, and stewardship assignment matrix for a fictional organisation
- Metadata catalogue exercise using a simplified data dictionary template to document data assets and establish lineage
- Regulatory compliance mapping activity linking applicable data protection laws to specific governance controls
- Peer review sessions where participants critique and refine each other's governance artefacts with structured feedback
- Facilitated discussion on building organisational buy-in and managing resistance during data governance rollout
- Personal action planning session where each delegate outlines a 90-day governance implementation roadmap for their own organisation
Organisational Benefits
- Improved data quality and reliability across operational and reporting systems
- Reduced risk of regulatory penalties related to data protection and privacy non-compliance
- Clearer data ownership and accountability, eliminating duplication of effort and data silos
- Enhanced ability to leverage data analytics and business intelligence for strategic decisions
- Stronger alignment between IT data management practices and business objectives
- Increased stakeholder confidence in the integrity and security of organisational data
- A scalable governance framework that grows with the organisation's data maturity
- Better-prepared staff capable of implementing governance initiatives without reliance on external consultants
Where Is Data Governance and Management Frameworks Training Offered?
This course runs in-person across: Dar es Salaam, Arusha, Accra, Naivasha, Kisumu, Addis Ababa, Pretoria, Kampala, Johannesburg, Nairobi, Lagos, Cape Town, Dubai, Nakuru, Zanzibar, Mombasa, Abuja, Riyadh, Kigali, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Live Virtual |
Online |
12 Oct 2026 – 16 Oct 2026 |
KES 80,000 |
| Dar es Salaam, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,300 |
| Arusha, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,100 |
| Accra, Ghana |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,800 |
| Naivasha, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Kisumu, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Addis Ababa, Ethiopia |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,400 |
| Pretoria, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,300 |
| Kampala, Uganda |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 1,900 |
| Johannesburg, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,500 |
| Arusha, Tanzania |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,100 |
| Addis Ababa, Ethiopia |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,400 |
| Live Virtual |
Online |
2 Nov 2026 – 6 Nov 2026 |
KES 80,000 |
| Dar es Salaam, Tanzania |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,300 |
| Nairobi, Kenya |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
KES 105,000 |
+226 more dates — view live schedule →
Frequently Asked Questions
Do I need a technical background to attend this course?
No deep technical expertise is required. The course is designed for both technical professionals and business-side managers who work with or are responsible for data. A basic familiarity with organisational data systems or information management processes is sufficient.
Will I receive a certificate upon completion?
Yes. All participants who attend and complete the programme receive a TrainingComplex Certificate of Completion in Data Governance and Management Frameworks, which can be used for professional development records and CPD portfolios.
Which data governance framework does the course focus on?
The course covers multiple internationally recognised frameworks — primarily DAMA-DMBOK, COBIT, and ISO 8000 — and includes exercises to help participants select and adapt the most appropriate framework for their own organisational context rather than prescribing a single approach.
Is this course suitable for someone building a data governance function from scratch?
Absolutely. The programme is structured to serve both participants establishing governance for the first time and those looking to formalise or strengthen existing practices. The final module specifically helps delegates develop a practical 90-day implementation roadmap for their organisation.
Can this course be delivered in-house for our organisation?
Yes. TrainingComplex offers customised in-house delivery of this programme for organisations that prefer a tailored experience using their own data environments, policies, and case studies. Contact us directly to discuss scheduling, group size, and customisation options.
