Technical architecture model of data governance with fuzzy approach for smart police

Recently, data has become a valuable asset in organizations, and data governance has become one of the priorities of organizations. The review of previous studies shows that the evaluation of the establishment of data governance in organizations is carried out qualitatively, and organizations cannot implement their organizational data governance architecture and model based on a written and specific plan. The purpose of this research is to provide a quantitative method to measure the level of data governance in an organization and subsequently plan to improve the existing situation. Due to the qualitative nature of influencing factors in measuring the level of establishment, fuzzy concepts have been used for modeling and analysis. This survey was conducted using a questionnaire tool among 13 experts in the field of information technology and people familiar with this field, using the fuzzy Delphi method, in which the triangular fuzzy number (L, M, U) was used in this research, and the experts gave their opinions. In the form of fuzzy variables, expression and evaluation were carried out in two stages, and the average of the first stage was equal to 0.15.49 and the second stage was equal to 0.15.52, with a difference of 0.03%, and the results show that there is a significant and positive relationship between the components and The indicators of the establishment of data governance are, at the end, a technical model is presented based on this for the establishment of police organizational data governance