Aplicando Business Inteligence no contexto de sistemas de servic¸os autonomos em ambientes internos

Abstract

Context: The increasing complexity of autonomous systems generates large volumes of data from various sources, such as sensors and connected devices. Interpreting this data is crucial for operational efficiency and decisionmaking. In this scenario, Business Intelligence (BI) tools make information more accessible, facilitating the identification of relevant patterns and trends. Objective: This article presents a study on the application of Business Intelligence (BI) in the context of autonomous service systems, focusing on the creation of interactive reports using Microsoft Power BI to demonstrate how these tools can improve data management and decision-making in autonomous systems through clear and intuitive visualization of large data volumes. Methodology: A case study was conducted at the Federal Institute of Education, Science, and Technology of Bahia (IFBA) - Vitoria da Conquista Campus. Data was collec- ´ ted, processed, and implemented in a Power BI dashboard to identify relevant information. Results: The use of BI was found to facilitate the understanding of complex data, enabling more informed and accurate decisions. Conclusion: The study highlights the potential of these tools to simplify data consumption and support decision-making based on large datasets, promoting efficiency and innovation in autonomous systems.