Why is it important to reduce data redundancy in databases?

Reducing data redundancy in databases is crucial for minimizing data inconsistencies. When the same piece of information is stored in multiple places within a database, there is a higher likelihood that discrepancies will occur. For example, if a customer's address is stored in several records and is updated in one location but not in others, it can lead to conflicting information being presented. This inconsistency can result in confusion, errors in reporting or analytics, and overall unreliable data management.

By reducing redundancy, databases promote a single source of truth, where each piece of information exists in only one place. This practice not only enhances the accuracy of the data but also simplifies database management and maintenance operations. Users can be confident that the information retrieved is current and correct, which is essential in decision-making processes.

In contrast, while faster access to databases and complex data structures are beneficial, they are not the primary reasons for addressing redundancy. Increasing data storage costs would be counterproductive, as one of the key objectives of database design is to optimize storage efficiency.