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data_quality_management_system:data_cleansing [2024/03/08 13:33] 127.0.0.1 external edit |
data_quality_management_system:data_cleansing [2024/05/26 19:33] (current) peter |
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* [[data_quality_dimension/ | * [[data_quality_dimension/ | ||
* [[data_quality_dimension/ | * [[data_quality_dimension/ | ||
- | * [[data_quality_dimension/ | + | * [[data_quality_management_system: |
* [[data_quality_dimension/ | * [[data_quality_dimension/ | ||
* [[data_quality_dimension/ | * [[data_quality_dimension/ | ||
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| Type conversion | | Type conversion | ||
| Edit rules | Edit Rules, a new class of data quality rules, are rules that tells how to fix errors, i.e. which attributes are wrong and what values they should take. | | | Edit rules | Edit Rules, a new class of data quality rules, are rules that tells how to fix errors, i.e. which attributes are wrong and what values they should take. | | ||
- | | Data lifecycle management | + | | Data lifecycle management |
Note 4: Data issue prevention is far superior to data issue detection and cleansing, as it is cheaper and more efficient to prevent issues than to try and find them and correct them later. | Note 4: Data issue prevention is far superior to data issue detection and cleansing, as it is cheaper and more efficient to prevent issues than to try and find them and correct them later. |