data_quality_dimension:accuracy
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data_quality_dimension:accuracy [2023/03/24 17:56] peter |
data_quality_dimension:accuracy [2023/06/14 14:20] peter |
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| ===Definition=== | ===Definition=== | ||
| - | Accuracy of a data value is the degree of closeness of [[data_concept: | + | Accuracy of a data value is the degree of closeness of [[data_concept: |
| ===Relation=== | ===Relation=== | ||
| - | Accuracy is a [[general_term: | + | |Accuracy|is a [[general_term: |
| + | |Accuracy|is an instance of a|[[data_quality_general/ | ||
| + | |||
| + | ===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. | ||
| ===Examples=== | ===Examples=== | ||
| Line 13: | Line 17: | ||
| The name should be written as Janssen with double ' | The name should be written as Janssen with double ' | ||
| - | ==Wrong unit== | + | ==Old adress== |
| + | ^ Employee name ^ Place of living^ | ||
| + | |John Steward | ||
| + | John has moved meanwhile to New York. | ||
| + | |||
| + | ==Wrong unit of measure== | ||
| ^ Product name ^ Weight in gram^ | ^ Product name ^ Weight in gram^ | ||
| | Pack of suger |1| | | Pack of suger |1| | ||
| - | The weight | + | Weight |
| ===Reference(s)=== | ===Reference(s)=== | ||
| DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https:// | DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https:// | ||
data_quality_dimension/accuracy.txt · Last modified: 2024/03/08 13:33 (external edit)