Organisations are investing heavily in cloud platforms, dashboards, automation and artificial intelligence, but those investments depend on data that is accurate, well described and used lawfully. Where governance is a paper policy owned by nobody, projects spend most of their time reconciling figures, and regulators and auditors find inconsistencies that damage confidence in management information.

Digital Transformation in Data Governance, Quality & Stewardship treats governance as an operating capability rather than a committee. Participants learn how to establish ownership by data domain, assign stewardship duties that are realistic alongside normal jobs, and implement the tools that make governance visible, including glossaries, catalogues, lineage maps and quality dashboards. They build quality rules for completeness, validity, uniqueness and timeliness, automate checks in the data pipeline and design workflows for fixing issues at their source.

The course also examines privacy, security classification, master and reference data, and the new questions raised by self-service analytics and machine learning. Teaching is laboratory based: delegates profile a messy dataset, draft policies, configure a catalogue and present a governance roadmap with measurable outcomes suited to their own organisation.

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

• Establish a data governance operating model with domains, owners, stewards and councils.
• Build a business glossary and populate a data catalogue with meaningful metadata.
• Trace data lineage from source systems through pipelines to reports.
• Define, measure and automate data quality rules and scorecards.
• Manage master and reference data to create a single trusted view of key entities.
• Apply classification, access control and retention rules aligned with data protection requirements.
• Create stewardship workflows for logging and resolving data issues.
• Prepare a phased governance roadmap with measurable targets.

The course is designed for people who own, manage or depend on organisational data, including:

• Data governance leads and chief data officers' teams
• Data stewards and business data owners
• Data analysts, BI developers and data engineers
• Database administrators and information architects
• Data protection and information security officers
• Risk, compliance and internal audit professionals
• Digital transformation and ERP project managers
• Records and knowledge management officers

Participants leave the course with:

• A governance operating model diagram with named roles and decision rights.
• A starter business glossary and catalogue entries for priority data sets.
• A set of tested data quality rules and a scorecard layout.
• A data issue log and stewardship workflow ready for adoption.
• A twelve-month governance roadmap with milestones and measures.

The course favours doing over listening and uses realistic data estates. Participants experience:

• Tool demonstrations of catalogues, lineage and quality monitoring
• Hands-on SQL and spreadsheet profiling of untidy datasets
• Role-play of data council and steward meetings
• Templates for policies, glossaries and issue logs
• Roadmap clinics with facilitator coaching

Delegates who complete the sessions and laboratory work are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.