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data_quality_dimension:accuracy [2023/06/14 14:11] peter |
data_quality_dimension:accuracy [2024/03/08 13:33] |
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- | =====Accuracy===== | ||
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- | ===Definition=== | ||
- | Accuracy of a data value is the degree of closeness of [[data_concept: | ||
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- | ===Relation=== | ||
- | |Accuracy|is a [[general_term: | ||
- | |Accuracy|in an instance of|[[data_quality_general/ | ||
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- | ===Note=== | ||
- | Accuracy can be determined, by comparing data in your database with a real-world measurement. For example, you could call a customer and ask if his email address is still john@mail.com. If you draw a sample from your database, you can make statements about the accuracy of all the data in the database. | ||
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- | ===Examples=== | ||
- | ==Wrong name== | ||
- | ^ Name ^ | ||
- | | Jansen | ||
- | The name should be written as Janssen with double ' | ||
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- | ==Old adress== | ||
- | ^ Employee name ^ Place of living^ | ||
- | |John Steward | ||
- | John has moved meanwhile to New York. | ||
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- | ==Wrong unit of measure== | ||
- | ^ Product name ^ Weight in gram^ | ||
- | | Pack of suger |1| | ||
- | Weight should be 1000 (gram) instead of 1 (kilogram). | ||
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- | ===Reference(s)=== | ||
- | DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https:// | ||