When data redundancy isn’t purposeful, it can lead to a variety of issues which we’ll discuss below. This allows you to easily update all records of redundant data when necessary. If data redundancy is intentional, it’s important to have a central field or space for the data. Accidental data redundancy can be the result of a complex process or inefficient coding while intentional data redundancy can be used to protect data and ensure consistency - simply by leveraging the multiple occurrences of data for disaster recovery and quality checks. Sometimes data redundancy happens by accident while other times it is intentional. ![]() Although it can be challenging to reconcile - or even benefit from - duplicate data entries, understanding how to reduce and track data redundancy efficiently can help mitigate long-term inconsistency issues for your business. As more companies are moving away from siloed data to using a central repository to store information, they are finding that their database is filled with inconsistent duplicates of the same entry. What is data synchronization and why is it important?ĭata redundancy occurs when the same piece of data is stored in two or more separate places and is a common occurrence in many businesses.What is Data Quality? Definition, Examples, and Tools. ![]() ![]()
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