What is a logical data model?

A logical data model serves as an abstract representation of the data structures involved in a system, focusing on the organization and relationship of the data elements, without getting into specifics about how they will be physically implemented in a database. This model emphasizes the semantics of the data, such as the entities, attributes, and the associations between them, allowing developers and stakeholders to understand the nature of the data without being confined to the technical aspects of database technology or hardware constraints.

This understanding is vital during the initial stages of system design, as it fosters better communication among team members and helps ensure that the data requirements are clearly understood and documented. By separating the logical structure from physical implementation details, it allows for greater flexibility and adaptability in how the system may eventually be realized in terms of technology.

The other options do not accurately represent what a logical data model is intended to convey. For instance, detailing implementation denotes a physical model rather than a logical one, which indeed focuses on the data structure. Similarly, an overview of application architecture and a visualization tool for data analysis refer to different concepts that relate more to system architecture and analytic processes rather than the structure of data itself.