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Enhancing decision-making through BI automation
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Orientador(es)
Resumo(s)
Every second, large volumes of data are generated which, if not properly interpreted, can lead to wrong decisions and undesirable consequences. Automating and optimising information processing enables faster handling and supports timely, informed decision-making. With the evolution of Business Intelligence tools, adopting data-driven solutions is essential for organisational competitiveness. This work tackles real-time management and analysis of strategic and operational industrial data through the design and development of the Unified Performance Metrics dashboard, which consolidates strategic information of internal business units via key metrics, and the improvement of the existing human resources dashboard. The system integrates a Power BI front-end with a Python- and SQL-based back-end for automation and the extract, transform, and load process. The dashboards were successfully evaluated, approved, and deployed. By automating strategic and operational analyses, the dashboards effectively replaced inefficient manual error-prone procedures, demonstrating clear operational advantages.
Descrição
Palavras-chave
Business intelligence decision-making dashboards extract-transform-load information management metrics Power BI data automation workflow
Contexto Educativo
Citação
Ribeiro, H., Gonçalves, C.A., Malheiro, B. (2027). Enhancing Decision-Making Through BI Automation. In: Rocha, A., Adeli, H., Moreira, F. (eds) Recent Trends and Challenges in Information Systems and Technologies. WorldCIST 2026. Lecture Notes in Networks and Systems, vol 2092. Springer, Cham, 538-548. https://doi.org/10.1007/978-3-032-32023-0_44
Editora
Springer Nature Switzerland