Which statement describes a potential issue caused by data redundancy?

The statement that data can become inconsistent accurately describes a potential issue caused by data redundancy. When the same piece of data is stored in multiple locations within a database or system, there is a risk that updates to this data may not be applied uniformly across all instances. For example, if a user's contact information is stored in two separate places, editing it in one location but neglecting to update the other can lead to two different sets of information about the same user. This inconsistency can make it challenging to trust or verify the accuracy of the data, ultimately leading to errors in decision-making or analysis.

In contrast, having data become easier to access, improving data integrity, or enhancing data retrieval speed are generally positive outcomes associated with well-managed databases, often achieved through proper normalization and reduced redundancy. These outcomes tend to be objectives sought in data management, rather than risks associated with redundancy.