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data_quality_management_system:data_quality_issue [2023/03/26 14:39] peter |
data_quality_management_system:data_quality_issue [2024/03/08 13:33] (current) |
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- | ===== Data issues | + | ===== Data quality issue ===== |
=== Definition === | === Definition === | ||
- | A data issue is a non-fulfilment of a requirement regarding | + | A data quality |
===Notes=== | ===Notes=== | ||
- | Generally, a data issue concerns an incorrect data value, but it can be applied to any other data quality dimensions, e.g., completeness and timeliness. | + | Generally, a data quality |
- | Attributes of a data issue are: | + | Attributes of a data quality |
- | * Description of a data issue | + | * Description of a data quality issues |
- | * Classification of a data issue | + | * Classification of a data quality issues |
* Impact, severity/ | * Impact, severity/ | ||
- | * Assignment of the data issue to a person who will resolve the data issue | + | * Assignment of the data quality issues |
- | * What is changed, why en how in the resolution of a data issue | + | * What is changed, why en how in the resolution of a data quality issues |
* Resolution time/ | * Resolution time/ | ||
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=== Lifecycle === | === Lifecycle === | ||
^ Phase ^ Activity | ^ Phase ^ Activity | ||
- | | Plan | * To detect or identify data issues\\ * To determine if similar data issues exist\\ * To register data issues\\ * To count the number of data issues \\ * To categorize or classify data issues\\ * To diagnose data issues (‘root cause analysis’)\\ * To formulate options for remediation of data issues.\\ * To assess the business impact of data issues (‘severity’)\\ * To prioritize data issues based on business impact (by data owners and data stewards)\\ * To eventually escalate data issues. See figure. | + | | Plan | * To detect or identify data quality |
- | | Do | * To eliminate or resolve a data issue (‘correction’, | + | | Do | * To eliminate or resolve a data quality issues(‘correction’, |
- | | Check | * To monitor the status of data issues and their resolutions.\\ * To review the effectiveness of corrective and preventive action. | | + | | Check | * To monitor the status of data quality issuesand |
| Act | * To adapt corrective and preventive action. | | | Act | * To adapt corrective and preventive action. | | ||
=== Characteristics === | === Characteristics === | ||
^ Characteristic ^ Requirements ^ | ^ Characteristic ^ Requirements ^ | ||
- | | Severity | Data issues are resolved in order of severity. | | + | | Severity | Data quality issuesare |
=== Relations=== | === Relations=== | ||
- | * Managing data issues | + | |Data quality issue|is child of| [[general_term/ |
- | * Preventing data issues | + | |Data quality issue| is an element |
- | | + | |Data quality issue|is one of the principles of a|data quality program| |
- | | + | |Data quality issue| |
- | | + | |Data quality issue| can be caused by|data migration| |
- | | + | |Data quality |
- | | + | |Data quality issue| is identified by |data profiling| |
- | | + | |Data quality issue|is prevented |
- | | + | |Data quality issue| is identified and resolved by |[[role/ |
- | * Possible data issues are prevented by [[data_quality_general/ | + | |Data quality issue| is resolved by |[[data_quality_management_system/ |
- | * The root cause of a data issue can be investigated | + | |Data quality issue| is eliminated by |[[data_quality_general/ |
- | * The status of data issues | + | |Data quality issue | is prevented by |[[data_quality_general/ |
- | | + | |Data quality issue| is prevented by |[[data_quality_general/ |
- | * [[data_quality_management_system/ | + | |Data quality |
+ | |Data quality issue| | ||
+ | |Data quality issue|is detected and reported | ||
{{: | {{: | ||
- | === Data issue escalation path === | + | === Data quality issues |
- | The figure shows a possible escalation path of data issues. | + | The figure shows a possible escalation path of data quality |
{{: | {{: | ||
- | Figure 2: Data issue escalation path. | + | Figure 2: Data quality issues |
=== Story === | === Story === | ||
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{{tag> | {{tag> | ||
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