Which attribute ensures no relevant data is missing in information?

Which attribute ensures no relevant data is missing in information?

• A. Relevance
• B. Timeliness
• C. Completeness
• D. Summarization

Answer: (C)

Completeness is about having all the required data elements present so nothing relevant is left out. When information is complete, you have the full picture needed for accurate analysis and decision-making; missing data creates gaps that can lead to incorrect conclusions or faulty processes. Relevance is about whether the data is appropriate for the task, or useful for the decision at hand. Timeliness is about data being up-to-date when it’s needed. Summarization focuses on presenting data efficiently, not on whether data is missing. So completeness is the attribute that guarantees no relevant data is missing.

Completeness is about having all the required data elements present so nothing relevant is left out. When information is complete, you have the full picture needed for accurate analysis and decision-making; missing data creates gaps that can lead to incorrect conclusions or faulty processes. Relevance is about whether the data is appropriate for the task, or useful for the decision at hand. Timeliness is about data being up-to-date when it’s needed. Summarization focuses on presenting data efficiently, not on whether data is missing. So completeness is the attribute that guarantees no relevant data is missing.