Organisations now hold more data than ever across ERP systems, spreadsheets, mobile collection tools and cloud platforms, but much of it is duplicated, inconsistent or poorly understood. Weak governance results in flawed reports, privacy exposure, failed system migrations and analytics projects that never reach production. Regulators, auditors and funders increasingly ask who is accountable for data and how its accuracy is proven.

The Management of Data Governance, Quality & Stewardship Training Course gives managers a practical route from principle to routine. It begins with the business case, governance models and the operating structure of councils, owners and stewards. It moves through metadata, glossaries and catalogues, lineage, master and reference data management and the measurement of data quality using completeness, accuracy, validity, timeliness and uniqueness. Later sessions deal with privacy and security alignment, issue management, policy writing, tooling options and the change management needed to make stewardship part of ordinary work.

The format is workshop-based. Participants profile a sample dataset, write quality rules, draft policies and design a stewardship calendar. By the close they hold a governance roadmap tailored to their organisation, with early wins identified and sponsors mapped.

By the end of the course, participants will be able to:

• Make the business case for data governance and secure executive sponsorship.
• Design governance structures, charters and decision rights suited to the organisation.
• Define and assign data owner, data steward and custodian roles.
• Build a business glossary, data catalogue and lineage documentation.
• Measure data quality using agreed dimensions, profiling and scorecards.
• Manage master and reference data, and resolve data quality issues systematically.
• Align governance practice with data protection, security and records requirements.
• Create a phased roadmap and metrics to sustain stewardship over time.

The programme suits staff who are responsible for making data dependable, including:

• Data managers and information management officers
• Business intelligence and data analysts
• Heads of ICT and enterprise architects
• Records and knowledge management officers
• Data protection and compliance officers
• Monitoring, evaluation and research data managers
• Finance, HR and operations managers who own critical datasets
• Internal auditors reviewing data controls

Participants leave the week with:

• A draft data governance charter with roles and decision rights.
• A data quality scorecard for a priority dataset.
• A business glossary entry template and catalogue structure.
• A stewardship operating calendar with escalation routes.
• A shortlist of governance tooling options and selection criteria.
• A 12-month roadmap with early wins and success measures.

The course is highly practical and built on realistic artefacts. Participants will:

• Profile and score sample datasets using spreadsheet-based tools
• Draft charters, policies and glossary entries from templates
• Role-play governance council meetings and escalations
• Review short case studies of governance successes and failures
• Receive feedback on their roadmap from peers and facilitators

Participants who complete the sessions and the practical governance exercises receive a CPD-accredited Certificate of Completion, issued by Vision Reach Global Consultancy.