Iranian Research Institute for Information Science and Technology (IranDoc)
Abstract: (783 Views)
Objective: Data as a strategic asset in any organization requires proper and effective management to provide transformational opportunities for the organization. In this regard, data governance is seeking strategic value creation from the organization's data by identifying the policies, processes, and responsibilities related to data. Effective data governance requires evaluation, and the purpose of this research is to provide a method for evaluating data governance in organizations.
Methodology: In this research, first, a model for evaluating data governance is proposed in the form of a hierarchical structure, using the results of previous researches. Then, the evaluation method is established using the proposed structure and a hybrid approach based on Analytic Hierarchy Process and TOPSIS. The proposed approach is used in a case study in the food industry.
Findings: According to the results of this research, data governance can be evaluated from three different dimensions, including data quality, internal organizational effects, and external organizational effects. Data quality evaluation criteria include accuracy, completeness, consistency, availability, robustness and uniqueness of data. The data governance effectiveness, data governance productivity and business cost savings criteria refer to the internal organizational effects. The obtaining and improving customer satisfaction, compliance with laws and creating business opportunities criteria are also related to external organizational effects.
Conclusion: Data governance, by monitoring data quality and aligning it with business goals, is one of the causes of intra-organizational changes, such as increased productivity, in one hand and on the other hand has external impacts like increasing customer satisfaction and creating new business opportunities. Therefore, organizations need to use, implement, and evaluate data governance in their business to maintain competitive advantage and compliance with laws and regulations. This study tried to provide an applicable approach to evaluate data governance in organizations
Methodology: In this research, first, a model for evaluating data governance is proposed in the form of a hierarchical structure, using the results of previous researches. Then, the evaluation method is established using the proposed structure and a hybrid approach based on Analytic Hierarchy Process and TOPSIS. The proposed approach is used in a case study in the food industry.
Findings: According to the results of this research, data governance can be evaluated from three different dimensions, including data quality, internal organizational effects, and external organizational effects. Data quality evaluation criteria include accuracy, completeness, consistency, availability, robustness and uniqueness of data. The data governance effectiveness, data governance productivity and business cost savings criteria refer to the internal organizational effects. The obtaining and improving customer satisfaction, compliance with laws and creating business opportunities criteria are also related to external organizational effects.
Conclusion: Data governance, by monitoring data quality and aligning it with business goals, is one of the causes of intra-organizational changes, such as increased productivity, in one hand and on the other hand has external impacts like increasing customer satisfaction and creating new business opportunities. Therefore, organizations need to use, implement, and evaluate data governance in their business to maintain competitive advantage and compliance with laws and regulations. This study tried to provide an applicable approach to evaluate data governance in organizations
Keywords: Data Governance, Business Management, Data Governance Evaluation, Analytic Hierarchy Process (AHP), TOPSIS, Data Quality
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