How can denormalization lead to potential data inconsistency issues?

Denormalization can lead to potential data inconsistency issues due to increased data redundancy. When redundant data is stored across multiple tables, there is a risk that updates, inserts, or deletes may result in inconsistencies if the redundant data is not properly synchronized. For instance, if a piece of redundant data is updated in one place but not in another, it can lead to inconsistencies between the related data. Thus, while denormalization can improve query performance, it requires careful management to maintain data consistency.