Which of the following best describes the purpose of normalization in the Caboodle Data Model?

Normalization in the Caboodle Data Model primarily focuses on organizing data to minimize redundancy and dependency. The process involves structuring tables and establishing relationships between them to ensure that each piece of data is stored only once. This reduces data duplication and helps maintain data integrity, making it easier to update the data without inconsistencies.

When normalization is appropriately implemented, you can have a well-structured database that allows for efficient data retrieval and processing. Furthermore, by eliminating duplicate data, the overall storage requirements can be reduced, which can also lead to a more efficient database performance.

While the other options mention important aspects related to data management, they don’t accurately capture the specific goal of normalization itself. Therefore, focusing on the elimination of data duplication distinctly aligns with the core principle of normalization within the Caboodle Data Model.