Question
a.
When it is highly accurate
b.
When it conforms to field validation edits
c.
When it is fit for the intended purpose
d.
When it meets all user expectations
Posted under Data Warehousing and OLAP
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. When can data be considered to have quality?
Similar Questions
Discover Related MCQs
Q. What is data quality in a data warehouse related to?
View solution
Q. What are data accuracy and data quality often concentrated on in operational systems?
View solution
Q. What can a vague concept of data quality lead to?
View solution
Q. In a data warehouse, what problems may arise when certain data is not given much attention in the source systems?
View solution
Q. What is the definition of data accuracy in the context of data quality?
View solution
Q. What does domain integrity refer to in data quality?
View solution
Q. What does data type refer to in data quality?
View solution
Q. What is consistency in data quality?
View solution
Q. How is redundancy addressed in data quality?
View solution
Q. What does completeness refer to in data quality?
View solution
Q. What does conformance to business rules relate to in data quality?
View solution
Q. What is the role of clarity in data quality?
View solution
Q. Who determines the timeliness of data in the context of data quality?
View solution
Q. What role does usefulness play in data quality?
View solution
Q. What are the two integrity rules in the context of data integrity?
View solution
Q. How does improved data quality benefit data warehouse users in the context of timely information?
View solution
Q. How does complete and accurate information improve customer service?
View solution
Q. How can quality data benefit marketing departments in a data warehouse?
View solution
Q. What risks are associated with poor data quality?
View solution
Q. How does quality data in a data warehouse contribute to improved productivity?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!