Strategies and requirements for achieving effective, sustainable and sustainable transformation of senior data governance

By consolidating, standardizing, and adapting common data elements, senior data achieves a more consistent representation of the entities across the organization. Senior data management has an organized approach to monitoring, monitoring, and monitoring senior data management, and one of its key goals is high data quality. At the same time, changes in systems and increasing technological power are putting increasing pressure on policy makers and service providers to govern relevant data; The present descriptive-analytical research identifies and classifies strengths, weaknesses, opportunities and threats to Strategic Analysis (SWOT) requirements to achieve effective, sustainable and sustainable data governance transformation using data analysis by SWOT-AHP hybrid model and scoring each of them. Prioritizes between indicators. The statistical population of the study consisted of 42 experts, managers, IT experts in the field of cyber, information technology and strategic management, which was selected as a sample. Indicators were scored through a 9-hour range. After determining the final score, all indicators of opportunities and threats, strengths and weaknesses were compared in pairs. The results showed that the most important sub-criterion of the effect of technical, managerial, etc. capabilities for planning and policy-making of senior data governance (S1) with a weight of 0.243 is more than other indicators. The results also showed that the weakness group with a weight of 0.314, the strength group with a weight of 0.264, the threat group with a weight of 0.241 and the opportunity group with a weight of 0.181 were ranked first to fourth, respectively.