Proposta de uma ferramenta para tomada de decisão auxiliada por big data: um estudo em uma indústria do setor moveleiro

Abstract

Big data analysis in the strategic management of an organization can significantly assist in the decision-making processes, as it makes decision-making more effective and relevant. However, it is important to investigate the key themes involving the mentioned areas, thereby allowing the identification of trends, process optimization, prediction of potential issues, thereby increasing the company's competitiveness. As the objective of this study is to propose a tool for data-driven decision-making in the furniture industry. To achieve this objective, a systematic literature review was conducted, where it was possible to establish the main themes related to the process of decision-making based on big data analysis in Industry 4.0. Using the PRISMA methodology, supported by Mendeley and VOSviewer software, the system was developed using the Design Science method. Through the phases of Intelligence, Design, and Choice, the requirements for the development of a visual decision-making tool within the industry were established. In the project architecture definition stage, the architecture and data pipeline of the existing data were defined to assist in industry automation. Power Query was used for data analysis and processing automation through programming in the M language. Figma supported Power BI in the visual development of dashboards, as it enabled the creation of a more interactive and comprehensive presentation of information. The proposed work provided the furniture industry with decision-makers with dashboards for more agile and accurate decision making.