===== Stakeholder analysis ===== === Definition === A stakeholder analysis is an [[general_term:analysis|analysis]] with regard to [[role:stakeholder|stakeholders]]. ===Notes=== Another 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 models of a 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 === ^ Characteristic ^ Requirement example ^ | Completeness of the DQ stakeholders analysis | All 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 child of| [[general_term:analysis|analysis]]| |Stakeholder analysis| is an element of a|[[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]]| |Stakeholder analysis| is considered while managing the|[[data_quality_management_system/data_quality_policy|data quality policy]]| |Stakeholder analysis| is considered while managing|[[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]], [[role/chief_data_officer|chief data officers]], [[role/data_owner|data owners]], [[role/data_steward|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** | | [[role/data_user|Data users]] | • Data quality meet the requirements | High | High | | [[role/data_supplier|Data suppliers]] | • Data will be accepted ‘as is’ | High | Low | | [[role/chief_data_officer|Chief data officer]] | • Sufficient capacity and competency regarding DQ | Middle | High | | [[role/data_owner|Data owners]] | • Support from management and data stewards\\ • Sufficient capacity | High | High | | [[role/data_steward|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. {{tag>All DQMS}}