Which type of data model focuses on the design of databases?

The logical data model is indeed centered on the design of databases. It serves as a blueprint that defines the structure of the data elements and the relationships between them from a logical perspective. The logical data model abstracts the physical aspects of the database, allowing database designers to focus on how data will be organized and how entities relate to one another without having to deal with specific implementations or constraints of a physical database. This model ensures that all necessary data is included in the database and helps to outline the data requirements that support business processes.

On the other hand, the conceptual data model provides a high-level overview of the data, which lays out the overall structure and concepts but does not delve into the specifics necessary for actual database design. The conceptual model often focuses on capturing business requirements and defining entities and relationships at an abstract level.

The statistical data model is primarily concerned with the statistical representation and analysis of data, making it less relevant to database design. Similarly, the operational data model focuses on the daily transactions and processing of data rather than the structural design aspect, which emphasizes how data is stored and organized in databases. Thus, the logical data model is the most appropriate choice when discussing database design specifically.