Organisations hold more data than ever, yet leaders often cannot trust the numbers in front of them. Poor data quality leads to wrong decisions, failed digital projects, regulatory breaches and expensive manual clean-up. As artificial intelligence and automated decisions spread, the consequences of bad or unmanaged data become larger and harder to explain.

The programme treats governance as a business capability rather than a technology purchase. It starts with the strategic case, maturity assessment and alignment to organisational priorities. It then covers governance structures, committees, policies, standards and the allocation of ownership and stewardship roles. Participants learn how to define and measure data quality, run issue management and root cause analysis, and embed controls in business processes. Further sessions address metadata, cataloguing, lineage, master data, data sharing agreements, classification, privacy and security, and the governance of analytics and AI inputs.

Delivery combines facilitated workshops, templates and scenario exercises. Teams draft a charter, a stewardship model and a prioritised roadmap for an organisation of their choosing, and leave with materials that can be taken to an executive sponsor.

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

• Make the business case for data governance and secure executive sponsorship.
• Assess governance maturity using recognised frameworks and set a target state.
• Design a governance operating model with councils, decision rights and escalation paths.
• Assign ownership and stewardship roles and define what each is accountable for.
• Define data quality rules and metrics, and build a quality scorecard.
• Establish metadata, catalogue and lineage practices that support reuse and audit.
• Link governance to privacy, security, retention and AI-readiness requirements.

The programme is intended for leaders and specialists responsible for data strategy and trust, including:

• Chief data officers and heads of data and analytics
• Data governance, data quality and master data managers
• Information and records managers
• Enterprise and data architects
• Business intelligence and reporting leads
• Risk, compliance and data protection officers
• Statistics and research managers in government agencies
• Digital transformation and IT governance leaders

Participants finish with:

• A draft data governance charter and operating model for their organisation.
• A stewardship role description set covering owners, stewards and custodians.
• A data quality scorecard with defined rules, thresholds and owners.
• A prioritised roadmap of governance initiatives with measures of progress.
• A stakeholder engagement plan for winning support from executives and business units.

Sessions are workshop-driven and tied to real organisational problems through:

• Short strategic briefings from experienced data leaders
• Templates for charters, role descriptions, glossaries and scorecards
• Team workshops on a shared case organisation
• Hands-on profiling of an anonymised dataset to see quality problems first hand
• Executive-style presentations with feedback on persuasion and clarity

A CPD-accredited Certificate of Completion from Vision Reach Global Consultancy is awarded to participants who attend the programme and complete the workshop deliverables.