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7.1.2 (1)
2.2 (Data architecture (One reason for separating logical data…
7.1.2 (1)
2.2
Data architecture
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Ultimately, the data architecture needs to be structured to accommodate the needs of the organization in the most efficient manner.
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Therefore, the goal should be to obtain the most granular or atomic data possible.
The lowestlevel data are most likely to have attributes that can be used for analysis purposes that would be lost if summarized data are loaded.
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Data Governance
To maximize the value an organization obtains from its BI initiatives, an
effective data governance process needs to be in place.
An important part of the governance process involves d,
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This is particularly important because the investment needed to build BI infrastructure, such as a DW, is considerable.
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A recommended practice in the area of BI funding governance is to establish a business/IT advisory team that allows
different functional perspectives to be represented,
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Final funding decisions should rest with a
technology steering committee that is comprised of senior management.
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