Data Strategy
Defining the vision, goals, principles, and roadmap for how an organisation will acquire, store, manage, share, and use data to achieve its objectives.
Proficiency Level
Level 1 (Follow)
- Follows established data entry, data quality, and data privacy procedures in their daily work.
- Understands the basic importance of data accuracy and security based on the provided guidelines.
- Uses organisational data tools according to instructions.
Level 2 (Assist)
- Assists in gathering information about existing data sources, data flows, or data quality issues for strategic assessments.
- Helps document data definitions, metadata, or data lineage according to defined standards.
- Supports the creation of basic data catalogues or inventories under guidance.
Level 3 (Apply)
- Contributes to the development or implementation of specific components of the data strategy, such as data quality rules or master data management processes within their domain.
- Applies data governance policies and standards consistently in their projects or activities.
- Analyses data requirements for specific business initiatives to ensure alignment with strategic data principles.
Level 4 (Ensure)
- Develops specific data strategies or roadmaps for key business units, functions, or data domains (e.g., customer data, product data).
- Defines and oversees the implementation of data governance policies, standards, and stewardship roles within their area.
- Champions data literacy and promotes the value of data assets within their scope of influence.
Level 5 (Strategise)
- Leads the development, articulation, and promotion of the enterprise-wide data strategy and vision.
- Establishes the overall data governance framework, council, and operating model for the organisation.
- Aligns data strategy and investments with overarching business strategy and digital transformation goals.