The intelligent city is a network of interconnected devices which gather, store, and share its data in order to improve operational efficiencies of the cities’ functions, share the information with the public, and provide a better quality of governmental services and citizen welfare. To design resource-efficient and livable cities for its citizen, it is required to collect all of these data as the common ground of important information and lifeblood of the intelligent cities. These data coming from different sources such as: Data of the traffic, Data of the geospatial, data of the foot traffic, vehicles’ numbers in the city, Statistics data of the crime, etc. This paper aims to focus on data analytics’ and digital twin role that help cities to become with zero of carbon, improve the urban of mobility, manage the infrastructure better in a secure, and provide sustainable solutions, the paper will discuss the way for establishing these data through three main layers: The infrastructure of the technology used, devices and the applications used of the data and its capabilities, and the usage of these data and the interact with its users, and how to manage all of these with the change of users’ behaviors. Research findings confirms the contribution of the digital technology and the importance of sustainable solutions towards better enhancement of the quality of life.