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.

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.

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

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.

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

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.