ROT data management is the process of identifying, handling, and eliminating ROT data – data that is redundant, obsolete, or trivial – within an organization. This type of data often clutters storage systems, increases operational costs, and poses potential security risks without adding any real value. Effective ROT data management involves assessing the relevance and necessity of data, removing or archiving data that no longer serves a purpose, and optimizing data storage to improve efficiency and compliance. The primary goal is to streamline data management practices, reduce unnecessary data bloat, and ensure that only meaningful and useful information is retained, thereby enhancing overall data quality and reducing risks.