DATA INTELLIGENCE. ANALYSIS OF SALVADOR 360 APPS IN THE SALVADOR CITY HALL
Application, Data Intelligence, Smart City, Salvador 360.
This dissertation analyzes the data intelligence developed by CittaMobi, Municipality Vai de Taxi, Ouvindo Nosso Bairro, Noa Cidadão, Fala Salvador and Salvador Simplifica, applications of the Municipality of Salvador (PMS), in the “Salvador 360” project. The objective of the research is to analyze the applications of the Salvador 360 project to understand how the concept of data intelligence is applied in practice through mobile devices. We understand data intelligence as a way to analyze large volumes of data with the aim of optimizing services and processes and supporting decision-making in public and private organizations. The chosen initiative seeks to modernize management and public services to transform Salvador into a Smart City. From a neomaterialist perspective, we performed: a) interface analysis; b) content analysis of official documents and public communications; and, c) user reaction analysis on the Google Play Store platform with the help of the Appbot tool. It is concluded that the data intelligence mobilized in Salvador 360 applications is the result of actions in a wide network that connects data, processes, institutions, agents and equipment. We observed that the success of applications depends on the collaboration of users in providing information and the involvement of other institutions and servers to operate as an intelligent application. We identified issues in the way solutions inform users about the actions taken and their implications. Good practices are proposed that must be followed in the development of applications for cities. In this context, we assert that for the success of applications in Smart Cities, it is crucial to understand the needs of citizens, involve them in the development, ensure accessibility and security, and monitor system performance and documentation. Partnerships and intelligent management transform data into actions, building transparent and sustainable cities.