Databases Reference
In-Depth Information
data stewardship and ownership, which will help you design and implement a robust data governance
and management strategy.
Information life-cycle management forms one of the foundational pillars in the management
of data within an enterprise. It is the platform on which the three pillars of data management are
designed. The first pillar represents process, the second represents the people, and the third represents
the technology.
Goals
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Data management as an enterprise function.
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Improve operational efficiencies of systems and processes.
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Reduce total cost of ownership by streamlining the use of hardware and resources.
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Productivity gains by reducing errors and improving overall productivity by automating data
management and life cycle.
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Implement an auditable system.
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Reduce system failure risk.
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Provide business continuity.
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Maintain flexibility to add new requirements.
Information life-cycle management consists of the subcomponents shown in
Figure 12.1
.
FIGURE 12.1
Information life-cycle management components as applied to the enterprise.
