BIG DATA AND PREDICTIVE ANALYSIS IN BUILDING AND INTEGRATING SMART CITY

The main challenges are building an integrated smart city to ensure the production of big data of high quality and working to analyze it individually, providing an insight into industries in different sectors and responding to the changing needs of sectors , Hence, large cities need to build an automated system to increase the efficiency and effectiveness of risk management and identify risks according to the classification of the risk profile, and the possibility of linking with all operational systems in customs departments. Therefore, the purpose of this study was to study the relationship between the concept of a smart city and the goals of building and analyzing its motives, explaining the technologies that support the city and how to face the problems and challenges caused by the big data of smart cities and how to implement leadership practices as the mainstay of development and the true wealth of the country is the foundation of the digitization strategy and support for a culture of innovation and new practices The respondents consisted of government departments, semi government and private companies in the UAE. Using a structured questionnaire, a total of 500 surveys will be distributed to the randomly selected respondents, with the development of several hypotheses and control of regression and multiple regression, to provide several recommendations for future research.