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--- data_quality_management_system:stakeholder_analysis [2023/04/05 16:53]
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-===== Stakeholder analysis =====
-=== Definition ===
-A stakeholder analysis is an [[general_term:analysis|analysis]] with regard to [[role:stakeholder|stakeholders]].
-===Notes===
-Other defintion is: \\
-An overview of all stakeholders and their interest (requirements, needs and expectations) concerning data quality.
-A Stakeholder Rating Map is a form of visualization using a quartered chart to show stakeholders in terms of interest and influence/power. See figure 1.
-Interest indicates stakeholders’ likely concerns, whilst Influence indicates their ability resist your recommendation or change.\\
-{{:data_management:data_quality:stakeholder_analysis_1.jpg?200|}}{{:data_management:data_quality:stakeholder_analysis_2.jpg?250|}}
-Figure 1: Two Stakeholder Rating Maps
-=== Synonym ===
-Interested party.
-=== Purpose ===
-Purpose of a data quality stakeholder analysis is to consider the requirements, needs and expectations of the stakeholders when managing the [[data_quality_management_system/data_quality_policy|data quality policy]], [[data_quality_management_system/critical_data_element|critical data elements]], and [[data_quality_management_system/data_quality_objective|data quality objectives]].
-Purpose of stakeholder rating map is to prioritize the interest (needs) of stakeholders considering their influence.
-=== Life cycle ===
-^ Phase  ^ Activity                                                                                                                                                                                                                                                                                   ^
-| Plan   | •	Plan the data quality stakeholder analysis\\ •	Identify the data quality stakeholders\\ •	Identify the requirements, needs and expectations of the data quality stakeholders.\\ •	Rate the influence and interest of the data quality stakeholders\\ •	Compose a Stakeholder Rating Map\\ •	Compose the data quality stakeholder analysis  |
-| Do     | •	Consider the data quality stakeholder analysis when managing the other elements of the data quality management system, e.g., [[data_quality_management_system/data_quality_policy|data quality policy]], [[data_quality_management_system/critical_data_element|critical data elements]], and [[data_quality_management_system/data_quality_objective|data quality objectives]].                                                                                                                                        |
-| Check  | • Review/evaluate the data quality stakeholder analysis                                                                                                                                                                                                                                              |
-| Act    | • Adapt the data quality stakeholder analysis to new insights and circumstances                                                                                                                                                                                                                      |
-=== Characteristics and requirements ===
-^ Characteristic                                ^ Requirement                                                              ^
-| Completeness of the DQ Stakeholders Analysis  | Alle relevant stakeholders are mentioned in the DQ Stakeholder Analysis  |
-| Currency of the DQ Stakeholders Analysis      | The DQ Stakeholder Analysis is up to date                                |
-=== Relations ===
-Stakeholder analysis is an element of [[data_quality_general:data_quality_management_system|data quality management system]].
-Stakeholder analysis is considered while managing [[data_quality_management_system/critical_data_element|critical data elements]], the [[data_quality_management_system/data_quality_policy|data quality policy]], and [[data_quality_management_system/data_quality_objective|data quality objectives]].
-{{:data_management:data_quality:stakeholder_analysis.jpg?500|}}
-=== Examples ===
-Examples of DQ Stakeholder categories are [[role:data_user|data consumers]], Chief Information Officers, data owners, data stewards, staff, [[role/data_supplier|data suppliers]].
-Example of a DQ Stakeholder Analysis
-| **Stakeholder categories**  | **Interest (requirements, needs and expectations) of the stakeholder**  | **Interest of the stakeholders**  | **Influence or power of the stakeholders**  |
-| Data users                  | • Data quality meet the requirements                                    | High                              | High                                        |
-| Data suppliers              | • Data will be accepted ‘as is’                                         | High                              | Low                                         |
-| Chief information officer   | • Sufficient capacity and competency regarding DQ                       | Middle                            | High                                        |
-| Data owners                 | •	Support from management and data stewards\\ •	Sufficient capacity     | High                              | High                                        |
-| Data stewards               | • Support from management\\ • Sufficient tooling                        | Middle                            | Middle                                      |
-| Staff                       | • Adequate data quality so they can do their jobs properly              | High                              | Low                                         |
-=== References ===
-  * DAMA (2017). DAMA-DMBOK. Data Management Body of Knowledge. 2nd Edition. Technics PublicationsLlc. August 2017.
-  * DAMA Dictionary of Data Management. 2nd Edition 2011. Technics Publications, LLC, New Jersey.
-  * Friendman, A.L., Miles, S. (2006). Stakeholders-theory and practices. NewYork, Oxford University press, Inc.
-  * ISO 9000:2015. Quality Management Systems – Requirements.
-  * ISO 9001:2015. Quality Management Systems – Fundamentals and vocabulary.

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