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--- data_quality_management_system:data_quality_requirement [2023/03/16 17:44]
andrew
+++ data_quality_management_system:data_quality_requirement [2024/03/08 13:33]
@@ Line 1: / Line 1: @@
-=====Data quality requirements=====
-===Definition===
-Data quality requirements are [[general_term:requirement|requirements]] with regard to [[data_quality_general:data quality|data quality]].
-===Life cycle===
-^ Phase  ^ Activity                                                                         ^
-| Plan   | * Define data quality requirements                                               |
-| Do     | * Establish data quality requirements\\ * Communicate data quality requirements  |
-| Check  | * Evaluate data quality requirements                                             |
-| Act    | * Adapt data quality requirements                                                |
-===Characteristics===
-^ Characteristic                    ^ Requirement                                                         ^
-| Clarity                           | The data quality requirements are clear, readable and unambiguous.  |
-| Faisability                       | The data quality requirements are faisable                          |
-| Allignement with strategic goals  | The data quality requirements are alligned with strategic goals.    |
-===Relations===
-  * Data quality requirements is a subtype of [[general_term:requirement|requirement]].
-  * One of the two [[general_term:objective|objectives]] of a [[data_quality_general/data_quality_management_system|data quality management system]] is that the data quality requirements are met. The other objective is [[data_quality_management_system/data_consumer_satisfaction|data consumer satisfaction]].
-  * Data quality requirements can be part of the [[data_quality_management_system/data_quality_policy|data quality policy]].
-  * [[data_quality_management_system/data_quality_objective|Data quality objectives]] are a SMART version of the data quality requirements.
-===Examples===
-  * Example 1: All customer data should be [[data_quality_dimension/consistency|consistent]] over all databases of the organisation.\\
-  * Example 2: Data on invoices to customers are complete and accurate.

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