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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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Description
Test your knowledge of data quality measures including accuracy, completeness, consistency, timeliness, believability, and interpretability. This quiz covers topics such as data cleaning, data integration, data reduction, and data transformation.
