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Standards
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Detection of Data Quality Incidents
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This table lists the errors of detected data, their field and the initial impact on the business processes concerned, as well as the status of their resolution. It helps to prioritize remediation efforts according to the severity and impact of errors.
.. image:: ../_static/img/dqf-remediation-standards-1.png
:alt: Remediation Standards 1
:align: center
:width: 100%
.. raw:: html
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
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This summary is built on the basis of the input provided by the **Snapshot of Failed Data Report** described in the Operational Monitoring Standards.
This list will serve as a reference and a first step to the upcoming phases where a level of **impact** and **severity** as well as **resolution time** will be affected to each incident.
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For further details, please refer to the Snapshot of Failed Data Report Page
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Assess severity and impact
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The severity of the incident is assessed on the basis of its impact on business operations. The following **Severity Definition Matrix** is proposed to help assess incident severities using formal criteria.
.. image:: ../_static/img/dqf-remediation-standards-2.png
:width: 30%
:alt: DQ
:align: center
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Disclaimer: Please note that the proposed categories are based on market best practices and referential. When necessary, they can be customized to meet local specificities and requirements
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The incident business impact assessment is done on the **Business Impact Assessment Matrix** described in the Prioritization standards of the Data Quality Framework.
.. image:: ../_static/img/dqf-prioritization-business-impact-matrix.png
:width: 80%
:alt: DQ
:align: center
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Disclaimer: Please note that the proposed figures are based on broadly admitted amounts considered as rule of thumb in the market. When necessary, they can be customized to meet local specificities and requirements
For further details, please refer to the Prioritization standards.
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Using the **Severity Definition Matrix**, the **Business Impact Assessment Matrix** and the **Data Quality Incidents** list described in the previous section, the impact and severity levels are identified and assigned to each incident.
The following template is proposed to capture the impact and severity level for each identified incident.
.. image:: ../_static/img/dqf-remediation-standards-3.png
:alt: Remediation Standards 3
:align: center
:width: 100%
.. raw:: html
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
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Prioritize errors for remediation
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The prioritization of incidents is based on the evaluation of its severity and its business impact.
The following **Priority Definition matrix** provides a guideline to assign priority based on the combination of the two values.
.. image:: ../_static/img/dqf-remediation-standards-4.png
:width: 55%
:alt: Remediation Standards 5
:align: center
.. raw:: html
Disclaimer: Please note that the proposed combinations are based on market best practices and referential. When necessary, they can be customized to meet local specificities and requirements
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On the basis of the **Priority Definition matrix**, a priority level to the identified incidents can be assigned as follows:
.. image:: ../_static/img/dqf-remediation-standards-5.png
:alt: Remediation Standards 5
:align: center
:width: 100%
.. raw:: html
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
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Once the priority level of the incidents are defined, it is necessary to allocate a target incident resolution time.
The following matrix is proposed as a guideline to set target resolution times per priority:
.. image:: ../_static/img/dqf-remediation-standards-6.png
:alt: Remediation Standards 6
:align: center
:width: 25%
.. raw:: html
Disclaimer: Please note that the proposed figures are based on market best practices and referential. When necessary, they can be customized to meet local specificities and requirements
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The list of incidents can be updated with target resolution time as follows:
.. image:: ../_static/img/dqf-remediation-standards-7.png
:alt: Remediation Standards 7
:align: center
:width: 100%
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Disclaimer: Please note that some of the columns of the proposed template have been hidden to improve readability. The complete template can be found at the bottom of the page.
Remediation Planning and Execution Matrix
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Once the incidents have been prioritized, it is essential to define an action plan, assign responsibilities and monitor an action plan progress.
The following table provides guidelines to execute this step:
.. image:: ../_static/img/dqf-remediation-standards-8.png
:alt: Remediation Standards 8
:align: center
:width: 100%
.. raw:: html
Disclaimer: Please note that some of the columns of the proposed template have been hidden to improve readability. The complete template can be found at the bottom of the page.
Verification
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Finally, the verification step helps ensure that the corrective actions have effectively been conducted and finalized.
The following table serves as a guideline to capture final verification status:
.. image:: ../_static/img/dqf-remediation-standards-9.png
:alt: Remediation Standards 9
:align: center
:width: 100%
.. raw:: html
Disclaimer: Please note that some of the columns of the proposed template have been hidden to improve readability. The link to the complete template can be found at the bottom of the page.
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Remediation templates
Please refer to the Data Quality Framework documentation center.
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