What does the logical data model focus on?

The logical data model primarily emphasizes the relationships between data elements and the organization of data in a way that reflects the needs of users without delving into physical implementations. This model aims to establish a clear understanding of the data requirements and constraints of a system, which is crucial for efficient database design.

In focusing on normalization, the logical data model ensures that data is organized to reduce redundancy and enhance integrity. By defining how different data entities relate to one another, the model helps in structuring data logically to facilitate better data management and retrieval processes.

Considerations regarding high-level organizational structure, physical implementation details, or documenting user requirements are secondary to the core purpose of a logical data model. These aspects may be addressed in different phases of the data modeling process but are not the primary focus of the logical model itself. Instead, it serves as a vital intermediary step that prepares the foundation for more technical physical data models.