Question
a.
Striving for 100% data quality is realistic
b.
Ignoring errors is a good option
c.
Finding a balance between data purification effort and available resources is important
d.
Data quality is not related to business objectives
Posted under Data Warehousing and OLAP
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Q. What should organizations consider when it comes to data quality?
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