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Data Classification Assessments
Data classification is the
critical first step in developing
efficient, cost effective storage
management and ultimately the cornerstone of an
Information and Compliance Management.
A data classification project doesnt
have to be complex or difficult to accomplish, but
it can easily escalate in complexity depending on
how granular the classification effort becomes. Like
it or not, data classification will be the
cornerstone for a much larger information
Management
project.
The best way to begin is to use a
simple methodology and a high-level approach to
classifying data. What you need is a proven
methodology and the experts that have the experience
to guide your organizations through these
potentially complex steps.
Sample Data Placement
Classification Matrix
This framework will allow customer to
develop data storage tiers based on data
lifecycle attributes.
This framework will be applied in this
engagement from a technology, service level, and
cost points of view.
How is Data
Classified
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Data Policies, Service Level Objectives
(SLOs) & Data Classification are tightly
coupled |
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* Classify by application |
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- All data assigned same
classification |
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- Simple; good start; a first
approximation |
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- Net effect: ranking of
applications to services |
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* Classify by groups of data
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- Production data |
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- Archive data |
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- Compliance data |
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* Classify by metadata |
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- Time last accessed, owner,
etc |
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- E.g., Hierarchal Storage
Management (HSM) for a file server
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* Classify by information |
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- Content-driven alignment of
data and SLOs |
Sample Data Classification Tiers
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