What does a Logical Data Model describe?

A Logical Data Model provides a structured way to represent the data requirements of an organization. It describes entities, which are objects or concepts that have data to be captured within the system. These entities are associated with attributes, which are the specifics of what data will be collected (for example, a "Customer" entity might have attributes such as "Name," "Address," and "Phone Number"). Furthermore, the Logical Data Model details the acceptable values for these attributes, ensuring that data adheres to predefined formats and constraints, thus facilitating consistency and integrity.

Additionally, the model defines the relationships between different entities, illustrating how data points are interconnected. For instance, it might show that a "Customer" can place multiple "Orders," creating a one-to-many relationship. By focusing on the data itself and how it should be structured without concerning itself with how it will be used or implemented, the Logical Data Model serves as a critical blueprint for system integration and development.

Other choices, while they describe aspects pertinent to business or organizational functions, do not encompass the specific features and objectives of a Logical Data Model, which is fundamentally focused on data structure and relationships rather than processes, roles, or financial aspects.