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Questions and Answers
What are the factors comprising data quality?
What are the factors comprising data quality?
- Completeness, accuracy, relevance, timeliness, and consistency
- Validity, reliability, precision, consistency, and availability
- Accuracy, completeness, consistency, timeliness, believability, and interpretability (correct)
- Correctness, efficiency, relevance, security, and usability
What does completeness refer to in data quality?
What does completeness refer to in data quality?
- Data that were inconsistent with other recorded data may have been deleted
- The fact that the month-end data are not updated in a timely fashion
- Attributes of interest may not always be available (correct)
- Data that are accurate or not (i.e., having incorrect attribute values)
What does accuracy refer to in data quality?
What does accuracy refer to in data quality?
- Timely update
- Correct or wrong, accurate or not (i.e., having incorrect attribute values) (correct)
- Not recorded, unavailable
- Some modified but some not
What is consistency in the context of data quality?
What is consistency in the context of data quality?
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What factor of data quality is impacted by the month-end data not being updated in a timely fashion?
What factor of data quality is impacted by the month-end data not being updated in a timely fashion?
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Study Notes
Data Quality Factors
- Data quality comprises several factors, including completeness, accuracy, consistency, and others.
Completeness
- Completeness refers to the extent to which all required data is present and available.
Accuracy
- Accuracy refers to the degree to which data correctly reflects the real-world object or event it is intended to represent.
Consistency
- Consistency refers to the uniformity and coherence of data in terms of its format, structure, and content across different data sources and systems.
Timeliness
- Timeliness is a factor of data quality that is impacted when data is not updated in a timely fashion, such as month-end data not being updated promptly.
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