Planning and Implementation of Data Governance, Quality & Stewardship Training Course in Johannesburg, South Africa
Classroom training in Johannesburg · next cohort Nov 2, 2026 · from USD 6,800
A data governance policy signed off by the board achieves little if nobody has planned how it will be delivered, funded and adopted. Within a year duplicate records, conflicting reports and unclear ownership return, and the next audit finds the same gaps. Ten days take you through the whole delivery cycle. You begin with a maturity assessment against DAMA-DMBOK and DCAM, scoping around critical data elements, a business case and an operating model with owners, stewards and custodians. Policy, glossary and classification standards follow, then quality dimensions, rules and baselines, and a phased roadmap with budget and risks.
The second week is about doing the work: profiling and remediation labs with SQL and Great Expectations, selecting and configuring a catalogue such as Microsoft Purview or OpenMetadata, tracing lineage, matching master and reference data, and leading change with the ADKAR model. Data managers, governance leads, BI and records specialists, ICT project managers, statisticians and compliance officers in government, banking, health and NGOs will find it practical. Delivery is classroom, online or in-house, with a CPD-accredited certificate. You finish with a costed implementation plan ready for your steering committee.
At a Glance
Training in Johannesburg, South Africa
Johannesburg is South Africa's economic heart, home to the JSE and the head offices of Africa's largest companies.
More about training in Johannesburg →- Format
- Classroom, in Johannesburg
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 6,800
- Next start dates
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- Airport
- O.R. Tambo International (JNB)
- Time zone
- South Africa Standard Time (UTC+2)
- Currency
- South African rand (ZAR). Fees are listed in USD.
- Business districts
- Sandton, Rosebank and Midrand
About this course
Data governance rarely fails for lack of good intentions. It fails at implementation: when roles are announced without time allocated to them, when quality rules exist only in documents, or when a catalogue tool is bought before anyone has agreed which data matters most. Ministries, banks, utilities, hospitals and development programmes that rely on sound data for regulatory returns, service delivery and analytics need a delivery plan as much as a policy.
The Planning and Implementation of Data Governance, Quality & Stewardship Training Course treats governance as a programme to be designed, resourced and rolled out in stages. Days one to five concentrate on planning: assessing current maturity, setting scope, building the business case, designing the operating model and stewardship roles, drafting policies and standards, setting quality targets, and producing a roadmap with a budget and risk log. Days six to ten move into execution, with hands-on implementation of data quality controls and remediation, metadata and lineage tooling, master and reference data, and the change management that turns stewardship into routine work.
Learning centres on a single fictional public utility whose data problems participants diagnose and resolve as the programme advances. Templates, tool demonstrations and labs on sample datasets are combined with peer review, and the final day brings everything together in a pilot-to-scale plan presented to a mock steering committee.
Training Objectives
Participants completing the programme will be able to:
- Assess an organisation's data governance maturity against DAMA-DMBOK knowledge areas and set realistic target states.
- Prioritise critical data elements and scope a first implementation wave that delivers visible value.
- Build a business case that links data quality problems to cost, risk and service outcomes.
- Design a governance operating model with clear decision rights for owners, stewards, custodians and a data council.
- Draft policies, standards and glossary entries that business and technical teams can apply consistently.
- Implement data quality rules, monitoring and remediation workflows on sample datasets.
- Plan the phased rollout of catalogue, lineage and master data capabilities in line with organisational readiness.
- Lead adoption through stakeholder engagement, steward onboarding and progress metrics reported to sponsors.
What you'll learn
Key Takeaways
By the close of the ten days, each participant holds:
- A completed maturity assessment and target-state profile for their own organisation.
- A ranked list of critical data elements with named owners and stewards.
- A one-page business case and benefits map ready to put to a sponsor.
- A RACI matrix and terms of reference for a data governance council and steward network.
- A starter set of data quality rules, thresholds and a remediation workflow.
- A tool selection scorecard for catalogue, lineage and data quality platforms.
- A change and communication plan built on stakeholder mapping and the ADKAR model.
- A phased, costed implementation roadmap with KPIs, risks and milestones.
Training Methodology
Each session moves from planning tools to applied practice, using:
- A running case of a fictional public utility whose data estate participants assess, plan for and remediate across the ten days
- Ready-to-adapt templates for maturity questionnaires, RACI matrices, policy outlines, business cases and roadmaps
- Profiling and quality rule labs in SQL, Excel and Great Expectations on sample customer and asset data
- Live demonstrations of catalogue and lineage tools, followed by a structured tool evaluation exercise
- Role plays of council meetings, steward onboarding and difficult stakeholder conversations
- Peer review of each participant's plan and a final presentation to a mock steering committee
Day 1: Drivers, Scope and the Maturity Baseline
- Why governance programmes stall after launch and what implementation planning prevents
- Business drivers: regulatory returns, data protection, analytics, AI and service delivery
- DAMA-DMBOK knowledge areas and the DCAM framework as planning references
- Running a maturity assessment through questionnaires, interviews and evidence review
- Identifying critical data elements and high-pain data domains
- Stakeholder mapping and securing an executive sponsor
- Exercise: baseline assessment of the case organisation
Day 2: Business Case, Funding and Success Measures
- Quantifying the cost of poor data: rework, failed reports, penalties and lost revenue
- Benefits mapping that links data outcomes to organisational objectives
- Estimating costs for people, tools, training and change effort
- Choosing an approach: big bang, domain by domain or use-case led
- Defining success measures and leading indicators
- Programme risks, assumptions and dependencies
- Exercise: drafting a one-page business case for a sponsor
Day 3: Operating Model, Roles and Decision Rights
- Centralised, federated and hybrid governance operating models
- Data owners, stewards, custodians and the data council: duties and time commitments
- Decision rights and escalation paths for data issues
- RACI design for data creation, change, access and retirement
- Fitting governance alongside IT, risk, records and data protection functions
- Terms of reference and meeting rhythm for the council
- Exercise: designing the operating model for the case organisation
Day 4: Policies, Standards, Glossary and Classification
- The policy hierarchy: policy, standards, procedures and guidelines
- Writing a data governance policy that people will actually read
- Business glossary design and agreeing definitions across departments
- Data classification and handling standards for confidential and personal data
- Linking governance to data protection impact assessments and retention schedules
- Approval routes and version control for standards
- Exercise: drafting glossary entries and a classification standard
Day 5: Quality Targets and the Implementation Roadmap
- Quality dimensions: completeness, validity, accuracy, consistency, timeliness and uniqueness
- ISO 8000 and ISO/IEC 25012 as references for quality requirements
- Setting targets and tolerances for critical data elements
- Sequencing waves, quick wins and dependencies on a roadmap
- Resourcing plans and budget phasing
- Programme governance: steering committee, reporting and stage gates
- Exercise: building a phased roadmap with milestones and a risk log
Day 6: Implementing Data Quality Controls and Remediation
- Profiling datasets with SQL and open-source tools to establish baselines
- Converting quality requirements into executable rules
- Automating checks with Great Expectations and scheduled jobs
- Root-cause analysis of recurring defects with fishbone diagrams and five whys
- Remediation workflows: issue logging, triage, assignment and closure
- Preventive controls at the point of data entry
- Lab: building a quality scorecard for customer and asset records
Day 7: Metadata, Catalogue and Lineage Rollout
- Business, technical and operational metadata
- Catalogue options including Microsoft Purview, Collibra, Alation and OpenMetadata
- Writing requirements and running a structured tool evaluation
- Harvesting metadata and curating the catalogue with stewards
- Tracing lineage behind regulatory and management reports
- Access request workflows and data sharing agreements
- Lab: populating a catalogue and lineage view for one data domain
Day 8: Master and Reference Data Implementation
- Master data domains: customer, supplier, product, location and employee
- MDM implementation styles: registry, consolidation, coexistence and centralised
- Matching, merging and survivorship rules for a golden record
- Managing reference data and shared code lists
- Integrating master data with ERP, CRM and reporting systems
- Stewardship of match exceptions and data change requests
- Lab: deduplicating a customer file and setting survivorship rules
Day 9: Change Management and Stewardship Adoption
- Why staff resist governance and how to present it as support rather than control
- Applying the ADKAR model to new data roles
- Communication plans, data champions and visible quick wins
- Steward onboarding, training paths and job descriptions
- Embedding governance in projects, procurement and system change
- Measuring adoption through issue resolution times, glossary use and quality trends
- Role play: a council meeting that resolves a cross-department data dispute
Day 10: Integrated Project: From Pilot to Scale
- Team brief: governing a priority data domain in the case organisation
- Combining roadmap, operating model, quality rules and catalogue scope
- Pilot design, success criteria and the decision to scale
- A KPI dashboard for sponsors and the data council
- Sustaining the programme through funding, refresh cycles and maturity reassessment
- Presentations to a mock steering committee with peer feedback
- Personal implementation commitments and course close
The programme suits people who will plan, run or sponsor a data governance rollout, such as:
- Chief data officers, heads of data and data governance leads
- Data managers and business data stewards
- Business intelligence, analytics and reporting managers
- ICT project and programme managers delivering data platforms or ERP systems
- Records and information management officers
- Statisticians and M&E data managers in government agencies and NGOs
- Data protection officers and compliance officers
- Enterprise architects and database administrators
- Internal auditors who review data controls
Participants who attend all ten days, complete the planning templates and labs, and present their implementation roadmap receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
Alongside the certificate, participants keep the maturity assessment, business case and costed roadmap they developed, which can be taken straight into an internal approval process.
Choose Where You Want to Learn
Planning and Implementation of Data Governance, Quality & Stewardship Training Course Venues
South AfricaJohannesburgNext Nov 2· 13 dates$6,800Viewing- South AfricaPretoriaNext Nov 2· 13 dates$6,400
- South AfricaCape TownNext Oct 26· 13 dates$7,600
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
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Frequently Asked Questions About Planning and Implementation of Data Governance, Quality & Stewardship Training Course in Johannesburg
Everything you need to know about this course before you register.
Planning and Implementation of Data Governance, Quality & Stewardship Training Course runs as classroom training in Johannesburg, South Africa, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Johannesburg cohort starts on November 2, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Johannesburg" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Planning and Implementation of Data Governance, Quality & Stewardship Training Course in Johannesburg is USD 6,800 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Johannesburg, Planning and Implementation of Data Governance, Quality & Stewardship Training Course runs as classroom training in Pretoria and Cape Town. It also runs as live online training you can join from anywhere in South Africa, and in-house at your organisation's own premises.
Yes — Planning and Implementation of Data Governance, Quality & Stewardship Training Course can be delivered at your offices in Johannesburg or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the Planning and Implementation of Data Governance, Quality & Stewardship programme, you'll be able to assess an organisation's data governance maturity against dama-dmbok knowledge areas and set realistic target states, prioritise critical data elements and scope a first implementation wave that delivers visible value, build a business case that links data quality problems to cost, risk and service outcomes, and design a governance operating model with clear decision rights for owners, stewards, custodians and a data council. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme suits people who will plan, run or sponsor a data governance rollout, such as: Chief data officers, heads of data and data governance leads, Data managers and business data stewards, Business intelligence, analytics and reporting managers, ICT project and programme managers delivering data platforms or ERP systems, Records and information management officers, Statisticians and M&E data managers in government agencies and NGOs, Data protection officers and compliance officers, Enterprise architects and database administrators, and Internal auditors who review data controls.
Planning and Implementation of Data Governance, Quality & Stewardship Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Planning and Implementation of Data Governance, Quality & Stewardship Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Planning and Implementation of Data Governance, Quality & Stewardship Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
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