Question

What should organizations consider when it comes to data quality?

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

Answer: (c).Finding a balance between data purification effort and available resources is important Explanation:Organizations need to find a balance between data purification effort and available time and resources.

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Q. What should organizations consider when it comes to data quality?

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