Organisations now depend on data for pricing, service delivery, regulatory returns and analytics, yet few can say who is accountable for a given dataset or how reliable it is. When governance is informal, the same customer appears under several identities, reports disagree and personal information is shared without clear authority. Applying risk management discipline makes these weaknesses visible and gives leaders a way to decide where to invest.

This programme combines the language of enterprise risk management with the practice of data governance. Participants begin by defining the data landscape and the operating model that governs it. They then learn how to find risks across the data life cycle, from capture and storage to sharing, retention and disposal, and how to rate them by likelihood and impact. Quality is treated as a measurable property, with profiling, rule definition, monitoring and root cause analysis. Later sessions explain stewardship roles, decision rights, policies, issue escalation and the metrics that show whether the framework is working.

Teaching is workshop based. Delegates apply each technique to anonymised sample data and to a scenario organisation, and they leave with a draft risk register and stewardship charter that can be adapted for their own workplace.

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

• Describe the components of a data governance framework and how they relate to enterprise risk management.
• Identify data risks across the information life cycle using structured techniques.
• Rate and prioritise data risks with likelihood and impact criteria.
• Define data quality dimensions, rules and thresholds and profile a dataset against them.
• Design preventive and detective controls for data entry, integration and access.
• Assign owner and steward roles and draw up decision rights and escalation paths.
• Develop key risk indicators and dashboards for data governance performance.
• Apply privacy and data protection principles when sharing and retaining data.

The programme is intended for professionals who manage, use or oversee organisational data, including:

• Data governance managers and chief data officers
• Data stewards, data owners and information managers
• Risk managers and compliance officers
• Internal auditors reviewing information systems
• Business intelligence and analytics leads
• Data protection officers and information security staff
• Records and knowledge management specialists
• Monitoring and evaluation data managers in NGOs and government

Participants complete the course with:

• A draft data risk register with ratings and treatment actions.
• A set of data quality rules and measures for a priority dataset.
• A stewardship charter defining roles, responsibilities and escalation.
• A control catalogue covering capture, integration, access and retention.
• A key risk indicator dashboard concept for senior management.
• A phased roadmap for improving governance in their organisation.

Learning is hands-on and centred on a scenario organisation, supported by:

• Concept briefings linked to recognised data management frameworks
• Dataset profiling labs using spreadsheets and simple query tools
• Risk identification workshops in mixed-role teams
• Template-based drafting of charters, rules and policies
• Short peer reviews of each team's register and roadmap

Vision Reach Global Consultancy issues a CPD-accredited Certificate of Completion to delegates who attend the full five days and complete the workshop deliverables.