What is the significance of normalization in a logical data model?

Normalization in a logical data model is a fundamental process aimed at organizing data to reduce redundancy and improve data integrity. The primary significance of normalization lies in its ability to accurately represent data relationships. By structuring data into well-defined entities and relationships, normalization helps ensure that the data is logically stored without unnecessary duplication.

When data is normalized, it is divided into tables in such a way that each table addresses a specific aspect of the data. This organization not only helps to manage the relationships between different data entities but also enhances the clarity and consistency of the data. Properly normalized data structures contribute to efficient querying and data manipulation, as well as easier maintenance and updates.

This approach contrasts with other options, which either misrepresent the goals of normalization or suggest practices that could lead to inefficiencies in data management. Therefore, understanding the role of normalization in aiding data relationships is crucial for anyone working with data modeling and database design.