What is normalization in the context of database design?

Normalization in the context of database design refers to the process of minimizing redundancy by organizing data into smaller, related tables. This approach seeks to ensure that each piece of data is stored only once, thereby reducing the chances of data anomalies and inconsistencies. The primary goal of normalization is to improve data integrity and make the database easier to maintain.

When data is normalized, it is broken down into segments that are logically connected, promoting efficient data management and ensuring that relationships between data points are clear. This structured organization not only helps in reducing duplicate data but also makes it easier to update or delete information without the risk of affecting other unrelated data.

The other options do not accurately represent the concept of normalization. Designing a database visually pertains to creating a diagrammatic representation of the data structures, which isn't the same as the process of normalization. Enhancing security involves measures that are more focused on access control rather than data organization. Lastly, increasing user interaction is related to user interface considerations and usability rather than the technical structuring of data in the database.