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--- data_quality_management_system:data_quality_requirement [2023/07/09 09:15]
andrew [Table] corrected spelling of feasibility and feasible
+++ data_quality_management_system:data_quality_requirement [2024/03/08 13:33]
@@ Line 1: / Line 1: @@
-=====Data quality requirement=====
-===Definition===
-Data quality requirement is a [[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.  |
-| Feasibility                       | The data quality requirements are feasible                          |
-| Allignement with strategic goals  | The data quality requirements are alligned with strategic goals.    |
-===Relations===
-|Data quality requirement| is subtype of |[[general_term:requirement|requirement]]|
-|Data quality requirement| is one of the two objectives of a|[[data_quality_general/data_quality_management_system|data quality management system]]|
-|Data quality requirement| can be part of the |[[data_quality_management_system/data_quality_policy|data quality policy]]|
-|Data quality requirement|can be starting point for|[[data_quality_management_system/data_quality_objective|data quality objectives]]|
-===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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