A New Fuzzy Approach to Assess the Implementation of Data Governance and Management of Related Factors

Data in various organizations has become a valuable asset and data governance has become one of the priorities of the organization. A review of previous studies shows that the assessment of the implementation of the data governance system in organizations is done qualitatively and organizations cannot determine a plan to improve their situation based on this type of assessment. The purpose of this paper is to provide a quantitative way to measure the level of implementation of data governance in an organization and subsequently plan to improve the status quo. Due to the qualitative nature of the influential factors in measuring the success rate, fuzzy concepts have been used for modeling and analysis. Also, in order to consider how the factors affect each other, the fuzzy cognitive mapping technique has been used to model the causal relationships between the factors. Then, the identified influential factors have been weighted and prioritized using the best-worst fuzzy method and the DEMATEL technique, and subsequently, scenarios of improving the situation of the organization have been designed to plan for the effective allocation of limited resources of the organization. This research has significant practical implications for the organizations that intend to establish such a system or are in the middle stages of implementation and are looking for a solution to find a plan to improve the situation.