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data_quality_management_system:stakeholder_analysis

Stakeholder analysis

Definition

A stakeholder analysis is an analysis with regard to 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.

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 policy, critical data elements, and 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 policy, critical data elements, and 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 analysisis child of analysis
Stakeholder analysis is an element of adata quality management system
Stakeholder analysis is considered while managing critical data elements
Stakeholder analysis is considered while managing thedata quality policy
Stakeholder analysis is considered while managingdata quality objectives

Examples

Examples of DQ stakeholder categories are data consumers, chief data officers, data owners, data stewards, staff, 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 data 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.
data_quality_management_system/stakeholder_analysis.txt · Last modified: 2023/10/17 15:58 by peter