| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 10 Days | KES 230,000 | USD 2,900 | Enroll |
| Kigali, Rwanda | 10 Days | USD 3,800 | USD 3,800 | Enroll |
| Kampala, Uganda | 10 Days | USD 3,800 | USD 3,800 | Enroll |
| Dar es Salaam, Tanzania | 10 Days | USD 4,000 | USD 4,000 | Enroll |
| Dubai, UAE | 10 Days | USD 7,500 | USD 7,500 | Enroll |
| Abuja, Nigeria | 10 Days | USD 7,800 | USD 7,800 | Enroll |
| Accra, Ghana | 10 Days | USD 7,500 | USD 7,500 | Enroll |
| Pretoria, South Africa | 10 Days | USD 7,500 | USD 7,500 | Enroll |
| Start & End Date | Duration | Kenyan Cost | Non-Kenyan Cost | Enroll | |
|---|---|---|---|---|---|
| Oct 12–Oct 29, 2026 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Oct 26–Nov 12, 2026 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Nov 09–Nov 26, 2026 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Nov 23–Dec 10, 2026 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Dec 07–Dec 24, 2026 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Dec 21, 2026–Jan 07, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jan 04–Jan 21, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jan 18–Feb 04, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Feb 01–Feb 18, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Feb 15–Mar 04, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Mar 01–Mar 18, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Mar 15–Apr 01, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Mar 29–Apr 15, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Apr 12–Apr 29, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Apr 26–May 13, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| May 10–May 27, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| May 24–Jun 10, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jun 07–Jun 24, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jun 21–Jul 08, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jul 05–Jul 22, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Jul 19–Aug 05, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Aug 02–Aug 19, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Aug 16–Sep 02, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
| Aug 30–Sep 16, 2027 | 14 Days | KES 180,000 | USD 2,000 | Register | |
About the Course
Enterprise data-governance programmes must coordinate strategic priorities, regulatory obligations, business ownership, data architecture, quality controls and technology across multiple departments and systems. Many programmes establish councils and policies but fail to define enforceable decision rights, connect governance with operational controls or sustain implementation beyond the initial launch.
This advanced course develops the competence required to design and implement an enterprise-wide data-governance framework. It covers governance strategy, scope, architecture, operating models, stewardship, policies, metadata, data quality, master data, risk, controls, technology enablement, change management, assurance and investment planning. Relevant principles from DAMA-DMBOK, DCAM, COBIT and ISO/IEC 38505 are examined without positioning the programme as certification preparation.
Participants will work through two staged enterprise cases and develop an integrated governance framework for a selected organization. The resulting package will include a governance strategy, operating model, decision-rights matrix, policy architecture, control framework, issue-escalation process, performance dashboard, investment case and phased implementation roadmap.
Target Participants
This course is designed for chief data officers, senior data managers, enterprise architects, information management leaders, governance and compliance professionals, IT managers, data-quality managers, risk and audit professionals, digital-transformation leaders and consultants responsible for designing or strengthening enterprise data-governance programmes. Participants should possess foundation knowledge of data governance or relevant professional experience.
What You Will Learn
By the end of this course, participants will be able to:
- Formulate an enterprise data-governance strategy
- Define enterprise governance scope and data domains
- Align data governance with business and data architecture
- Select and adapt an appropriate governance framework
- Design an enterprise data-governance operating model
- Establish decision rights and accountability arrangements
- Integrate data quality, metadata and master-data governance
- Design data-governance controls and assurance procedures
- Evaluate governance technology and investment requirements
- Develop a phased enterprise implementation roadmap
Course Duration
- Classroom – 10 Days
- Online – 14 Days
Course Outline
Enterprise Data Governance Strategy
- Enterprise governance purpose
- Strategic data priorities
- Governance value drivers
- Enterprise data risks
- Strategic governance outcomes
Data Governance Business Case
- Current-state performance problems
- Regulatory and operational exposure
- Governance benefit categories
- Investment justification
- Executive sponsorship and approval
Enterprise Data Governance Scope
- Organizational and business-function boundaries
- Data-domain coverage
- System and platform coverage
- Geographic scope considerations
- Scope approval criteria
Data Domain and Architecture Alignment
- Enterprise data domains
- Domain dependencies and data flows
- Business architecture relationships
- Application and integration architecture
- Architecture decision controls
Data Governance Framework Selection
- DAMA-DMBOK governance capabilities
- DCAM capability structure
- COBIT governance principles
- ISO IEC 38505 concepts
- Enterprise framework adaptation
Data Governance Operating Model and Decision Rights
- Centralized and federated models
- Hybrid governance structures
- Enterprise decision authority
- Domain-level decision rights
- Operating-model selection criteria
Data Governance Accountability and Stewardship
- Executive and council accountability
- Data owner responsibilities
- Data steward responsibilities
- Data custodian responsibilities
- Stewardship capacity planning
Enterprise Data Policy Architecture
- Enterprise policy hierarchy
- Data-governance policy
- Data standards and procedures
- Policy dependency mapping
- Policy ownership arrangements
Data Quality Control Framework
- Critical data elements
- Data-quality dimensions
- Data-quality rule design
- Preventive and detective controls
- Corrective control evidence
Metadata and Data Lineage Governance
- Business and technical metadata
- Business glossary governance
- Lineage documentation standards
- Lineage validation
- Metadata and lineage change control
Master and Reference Data Governance
- Master and reference data domains
- Authoritative data sources
- Golden-record and matching rules
- Approved values and hierarchies
- Ownership and version control
Data Risk and Control Design
- Enterprise data-risk categories
- Data-risk assessment criteria
- Control objective formulation
- Control ownership
- Control evidence requirements
Data Governance Issue and Exception Management
- Issue materiality and root cause
- Corrective-action ownership
- Exception eligibility and approval
- Compensating controls
- Closure and expiry validation
Data Governance Technology Enablement
- Governance workflow requirements
- Catalogue and metadata capabilities
- Data-quality platform capabilities
- Integration and automation requirements
- Technology evaluation criteria
Data Governance Adoption and Change
- Stakeholder readiness
- Governance communication
- Role-based capability development
- Resistance management
- Adoption monitoring
Data Governance Performance and Assurance
- Governance performance objectives
- Quality and stewardship indicators
- Executive dashboard design
- Control testing and evidence sufficiency
- Findings and remediation follow-up
Data Governance Investment and Implementation Roadmap
- Resource and cost estimates
- Implementation workstreams
- Dependencies and milestones
- Investment trade-offs
- Roadmap approval and risk management
Enterprise Data Governance Capstone
- Current-state governance diagnosis
- Target operating model
- Integrated governance control framework
- Costed implementation proposal
- Executive challenge and defence
Practical Outputs
Participants will develop the following tangible outputs during the programme:
- An enterprise data-governance strategy defining priorities, scope, sponsorship and expected value
- A data-domain and architecture map showing ownership, system coverage and cross-domain dependencies
- An operating model with documented decision rights, accountability and stewardship responsibilities
- An integrated control library covering policy, quality, metadata, lineage and master data
- A governance technology requirements and evaluation scorecard
- A governance performance dashboard with assurance evidence requirements
- A costed implementation roadmap and executive proposal integrating milestones, risks and approval gates
Training Approach
The course uses staged enterprise cases, framework comparisons, operating-model design, architecture mapping, control-design workshops, technology evaluation, investment analysis and executive simulations.
Organizational Benefits
- Stronger alignment between data governance and institutional strategy
- Clearly defined enterprise and domain-level decision rights
- Better integration of governance with data architecture
- More consistent data ownership and stewardship
- Stronger data-quality, metadata and master-data controls
- More reliable governance evidence and assurance
- Better prioritization of governance technology and resources
- Improved management of governance issues and exceptions
- A practical and costed enterprise implementation roadmap
Certification
Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.
Tailor-Made Course
This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.
