The words "legacy data" are enough to give most data managers a headache. Organizations today manage petabytes of unstructured, structured, continually aging data across multiple systems and platforms. Add in the requirement to preserve or add data classifications to align with Zero Trust principles, and a headache becomes a migraine in minutes.
The solution to marking compliance for legacy and new data is a faster, more affordable fix than most data managers realize, and the elements to make it happen already exist inside every organization: marking metadata.
The properties of metadata to create contextual, descriptive details about files are well understood. Extending basic metadata properties to include data classifications ensures information is findable, accessible, and interoperable for human users and downstream systems.
This paper describes some of the most common challenges organizations face when classifying legacy data and outlines a quick, affordable solution to avoid unwanted time, cost, and complexity in marking programs.
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