Logical Data Model
A logical data model is a data representation technique that visually describes the data entities, attributes, and relationships within an organization or system without regard to physical implementation.
Explanation
A logical data model is a visual representation of an organization's data, showing entities (things about which data is stored), their attributes (characteristics), and the relationships between them. Unlike a physical data model, which describes how data is stored in a database, a logical data model is technology-independent and focuses on what data is needed and how it relates, not how it will be implemented.
In project management, logical data models are used during requirements analysis, particularly for projects involving system development, data migration, or business process reengineering. They help the project team and stakeholders agree on the data requirements before committing to a technical solution. Entity-Relationship Diagrams (ERDs) are the most common format for logical data models.
Logical data models serve as a bridge between business requirements and technical design. They ensure that the project team understands the data landscape and that the technical solution will support the organization's information needs.
Key Points
- •Describes data entities, attributes, and relationships visually
- •Technology-independent, focused on business data requirements
- •Entity-Relationship Diagrams (ERDs) are the most common format
- •Bridges business requirements and technical database design
Exam Tip
A logical data model is about WHAT data is needed and how it relates, not HOW it is stored. If a question asks about technology-independent data representation, this is the answer.
Frequently Asked Questions
Related Topics
Data Representation Techniques
Data representation techniques are visual methods for displaying project information in formats such as charts, graphs, diagrams, and matrices to facilitate understanding and decision-making.
Hierarchical Charts
Hierarchical charts are data representation techniques that use a top-down tree structure to decompose and organize information, such as the WBS, OBS, and RBS.
Prototyping
Prototyping is a requirements elicitation technique that creates a working model of the expected product before building the final version, enabling early feedback and iterative refinement.
Test your knowledge
Practice scenario-based questions on this topic with detailed explanations.