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Four data archiving must-haves to maintain the value of content


Data archiving is often framed as a simple exercise in cost reduction—a way to move “cold” data to cheaper tiers to optimize storage spend. While the financial benefits are clear, this narrow focus overlooks the primary technical challenge: enabling straightforward compliance and maintaining the integrity and usability of business records long after the originating application has been updated or decommissioned.

In the long run, the risks extend beyond storage costs to include compliance issues and the challenge of maintaining data context and usability. When these aspects are preserved through innovative data archiving solutions, archiving can be implemented earlier in the data lifecycle, compliance becomes more defensible, and data transforms into a valuable historical asset that supports AI-driven transformation. 

To transform archiving from a passive repository into a functional extension of your data ecosystem, your strategy must prioritize these four imperatives.

# 1: Seamlessly combine structured and unstructured data

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