As organizations generate massive amounts of data across varied environments, stale, duplicate, and ROT data has grown rapidly, driving up storage costs and increasing security, privacy, and compliance risks. Identifying and managing this unnecessary data has become a major challenge for modern enterprises. This white paper outlines the key obstacles in detecting and reducing stale and ROT data and highlights best practices for lifecycle management. It also explains how BigID helps organizations efficiently discover, classify, and remediate this data to improve security, reduce cost, and strengthen governance.

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