5 Questions
What are the factors comprising data quality?
Accuracy, completeness, consistency, timeliness, believability, and interpretability
What does completeness refer to in data quality?
Attributes of interest may not always be available
What does accuracy refer to in data quality?
Correct or wrong, accurate or not (i.e., having incorrect attribute values)
What is consistency in the context of data quality?
Data that were inconsistent with other recorded data may have been deleted
What factor of data quality is impacted by the month-end data not being updated in a timely fashion?
Timeliness
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.
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.
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