Page 163 - CITP Review

2.
a. Incorrect. The cluster methodology is useful for predictive purposes, not for the analysis
of data from multiple systems.
b. Incorrect. Data mapping is useful for identifying sources of data, not for the analysis of
data from multiple systems.

c. Incorrect. An information lifecycle management system is critical as a foundation of
effective information management, not for the actual analysis of data from multiple
systems.
d. Correct. A data warehouse, when necessary, is an effective solution to transfer data from
operational databases and systems for subsequent analysis and other special uses.

3.

a. Incorrect. Before effective business intelligence or data mining can begin, data selection
should occur as the step after data collection.
b. Incorrect. Data integration is the last of three steps (data collection, data selection, and
data integration) that should occur before effective business intelligence or data mining
should begin.

c. Incorrect. Data collection is the first of three steps (data collection, data selection, and
data integration) that are necessary before effective business intelligence or data mining
should begin.

d. Correct. The manipulation of relevant data should occur after the consolidation phase,
not prior to effective business intelligence or data mining..

4.
a. Incorrect. Data warehousing is a useful way to integrate data from multiple operational
sources for special purpose analyses, not for overall data governance.
b. Incorrect. Data clustering is a useful way to conduct predictive analysis, not for overall
data governance.
c. Correct. Data governance is the overall management of data, availability, relevancy,
usability, integrity, and security.
d. Incorrect. Although the collection of relevant data is critical to a subsequent analysis, it
does not represent a form of effective data governance.

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