How Data Retention Strategies Have Evolved To Address The AI-Powered Enterprise
Techstrong.ai, Friday, June 20th, 2025
Data retention has always been an important component of data management processes and the data lifecycle, from data creation and collection to archiving and data sanitization.
Data retention policies vary significantly from industry to industry due to regulatory compliance, legal requirements, industry standards and business needs. But these policies are critical for organizations that must comply with the GDPR, the California Privacy Rights Act (CPRA), and similar laws enacted in Virginia, Colorado and Connecticut, among others.
As data moves through its lifecycle, organizations should aim to balance the value of the data because when data ages, it can become redundant, obsolete and trivial (ROT) meaning it is no longer valuable and can be eradicated permanently through data sanitization which helps minimize the risks associated with holding onto unnecessary or outdated data and the potential for 'data assets' to become a liability.