Otimizando Desempenho em Negócios: O caso Windcraft Engenharia

Abstract

This work highlights the implementation of a Business Intelligence (BI) system through Microsoft's® Power BI tool. The focus is to centralize and present data from the company's credit card platform to address the problem proposed by the study, aiming to verify the hypothesis that the lack of transparency in expense information related to credit cards used by Windcraft employees negatively impacts managerial decision-making. These data undergo an extraction, transformation, and loading (ETL) process using Python, ensuring their suitability and usefulness. Furthermore, the study emphasizes the importance of data, information, and knowledge, exploring the relationship between these elements. It includes a detailed analysis of the contextualized problem, well-defined objectives, clear justifications, and a solid theoretical foundation that delves into the fundamental concepts of data, information, knowledge, and Business Intelligence. Additionally, it presents the development of a Dashboard in Power BI and describes the steps to optimize its usage by managers, ensuring an efficient and targeted visualization for strategic decision-making.