Which factor is NOT associated with data quality?

Which factor is NOT associated with data quality?

• A. Reliability
• B. Maintenance costs
• C. Completeness
• D. Up-to-date information

Answer: (B)

Maintenance costs are not typically considered a direct factor of data quality. Data quality focuses more on the characteristics of the data itself, such as how reliable, complete, and current the data is. Reliability refers to the accuracy and dependability of the data, ensuring that it consistently represents the true information or the real-world scenarios it is supposed to depict. Completeness assesses whether all necessary data is present and that there are no gaps that could lead to incorrect conclusions or decisions. Up-to-date information evaluates how current the data is, impacting its relevancy and utility for decision-making. While maintenance costs can be related to the processes of ensuring data quality—such as the expenses incurred to cleanse or update data—they are not a measure of the intrinsic quality of the data itself. The focus on data quality is primarily concerned with the inherent attributes of the data rather than the costs associated with maintaining those attributes.

Maintenance costs are not typically considered a direct factor of data quality. Data quality focuses more on the characteristics of the data itself, such as how reliable, complete, and current the data is.

Reliability refers to the accuracy and dependability of the data, ensuring that it consistently represents the true information or the real-world scenarios it is supposed to depict. Completeness assesses whether all necessary data is present and that there are no gaps that could lead to incorrect conclusions or decisions. Up-to-date information evaluates how current the data is, impacting its relevancy and utility for decision-making.

While maintenance costs can be related to the processes of ensuring data quality—such as the expenses incurred to cleanse or update data—they are not a measure of the intrinsic quality of the data itself. The focus on data quality is primarily concerned with the inherent attributes of the data rather than the costs associated with maintaining those attributes.