When implementing a data classification program, why is it important to avoid too much granularity?
A. The process will require too many resources
B. It will be difficult to apply to both hardware and software
C. It will be difficult to assign ownership to the data
D. The process will be perceived as having value
When implementing a data classification program, why is it important to avoid too much granularity?
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answerhappygod
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When implementing a data classification program, why is it important to avoid too much granularity?
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