While redundancy can provide a safety net for data recovery, it often leads to several issues. Firstly, it increases storage costs as the same data is stored multiple times. Secondly, it can result in data inconsistency, where different versions of the same data exist, leading to confusion and errors. Moreover, redundant data can complicate data analysis and decision-making, as it becomes challenging to identify which version of the data is accurate.