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A thorough guide to Data Retention policies, legal requirements, and best practices for managing data throughout its lifecycle.
Data Retention refers to the policies, processes, and timeframes that determine how long data is stored, archived, or retained before it is deleted or destroyed.
Definition
Data Retention is the practice of defining and enforcing rules for how long different types of data must be kept to support business, legal, regulatory, operational, or security requirements.
Organizations generate vast amounts of data across systems, applications, and processes. Without a structured Data Retention policy, data can accumulate indefinitely—leading to compliance risks, increased storage costs, and potential security vulnerabilities.
Effective Data Retention policies include:
Retention periods vary widely depending on industry and jurisdiction; for example, financial records may require 5–7 years of retention, while personal data may need deletion once no longer required.
No, archiving stores long-term data; retention defines how long it must remain.
Yes, premature deletion can violate regulations or disrupt operations.
Legal, compliance, governance, and data leadership teams.