Access "A step-by-step approach to data classification"
This article is part of the Vol. 5 No. 6 August 2006 issue of Five companies on their storage virtualization projects
Data classification is the foundation for storage strategies that significantly lower costs, increase service levels, reduce risks and keep business customers happy. If you ask 100 storage professionals to define data classification, you'll probably get 100 definitions, all of which sound reasonable, if a little vague. Ask the same 100 professionals whether they've ever completed a successful data classification project and almost all of them will say "No." But if implemented successfully, data classification is the foundation for a wide variety of long-term storage initiatives: tiered storage, information lifecycle management (ILM), data privacy and security, regulatory compliance, data cleanup, service-level catalog definition and cost reduction. At a high level, data classification is the process of collecting the business requirements of data and apps, and using those requirements to store, protect and manage data at the appropriate service levels. A data classification project must begin with a definition of what's being classified and what metrics are ... Access >>>
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A step-by-step approach to data classification
The most common shortcoming of a data classification project is the perception that it can be completed through technical analysis at the storage layer without engaging business users. While discovering and analyzing storage is part of the process, good classification requires engaging business users or their IT representatives.
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Standards efforts undermined
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More than 50% of the time electronic discovery requests aren't satisfied.
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by Stephen Foskett
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