Skill description
Developing models and diagrams to represent, communicate and manage data requirements and data assets.
Guidance notes
Data modelling supports activities such as, but not limited to:
- helping organisations understand their data assets, develop software systems and map relationships between real-world entities.
- engaging with stakeholders to gather requirements and ensure data models align with business objectives.
- facilitating data engineering, integration and interoperability.
- enhancing data retrieval.
- supporting data governance and master data management.
- incorporating industry reference data standards to ensure consistency, interoperability and compliance.
Data models typically include components such as entities, relationships, attributes and domains. There are various types of data models, including relational, object-oriented, NoSQL and time-based.
Data models communicate different levels of detail, including conceptual, logical and physical.
Level 2Assist
Establishes, modifies or maintains simple data structures and associated components.
Uses specific data modelling and design techniques under guidance.
Level 3Apply
Applies standard data modelling and design techniques based upon a detailed understanding of organisational requirements.
Establishes, modifies and maintains data structures and associated components.
Communicates and explain the details of data structures and components to others.
Level 4Enable
Investigates enterprise data requirements where there is some complexity and ambiguity.
Plans data modelling and design activities, selecting appropriate techniques and levels of detail to meet objectives.
Provides advice and guidance to others using the data structures and associated components.
Level 5Ensure, advise
Sets standards for data modelling and design tools and techniques, advises on their application and ensures compliance.
Manages the investigation of enterprise data requirements based on a detailed understanding of information requirements.
Coordinates the application of analysis, design and modelling techniques to establish, modify or maintain data structures and their associated components.
Manages the iteration, review and maintenance of data requirements and data models.
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