Which of the following is NOT a benefit of normalization in databases?

Normalization is a database design technique that organizes data to minimize redundancy and dependency. One of the primary goals of normalization is to reduce data duplication, which helps to streamline databases by ensuring that information is stored in a single, correct location. This eliminates the problems associated with having identical data stored in multiple places, which can lead to inconsistencies and update anomalies.

Additionally, normalization aids in reducing common typos and errors. When data is consolidated and stored in one place, it minimizes the chances of entering the same data multiple times incorrectly. This leads to improved accuracy and reliability of the data stored in the database.

Normalization also significantly improves data integrity. By defining clear relationships and constraints between tables, normalization helps ensure that the data remains consistent and accurate throughout the database. This ensures that the relationships between data entities are maintained properly, reinforcing the validity of the data.

In contrast, increasing data redundancy is contrary to the principles of normalization. Normalization specifically seeks to eliminate unnecessary duplicates and dependencies among data. Therefore, increasing redundancy is not a benefit of normalization, thus making that statement correct in identifying what is NOT a benefit of this practice.