Automated analysis and tagging enforce organization-wide consistency. If each department or employee develops local standards, classification varies across teams. A single classification level omits critical distinctions that certain data requires. Sending guidelines increases awareness but lacks mechanisms that ensure uniform application.
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How does automated analysis and tagging ensure consistency in data classification?
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What challenges might arise with manual data classification methods?
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What is the importance of classification in data labeling protocols?