Marilise Luiza Martins dos Reis Sayao

Work place: University Federal of Santa Catarina/ Automation and Control Engineering Department, Blumenau, 89036-002, Brazil

E-mail: marilise.reis@ufsc.br

Website:

Research Interests:

Biography

Marilise Luiza Martins dos Reis Sayão, Director of Affirmative Actions and Equity at the Dean of Affirmative Actions and Equity (PROAFE)/UFSC - Management 2022/2026. Adjunct Professor at the Federal University of Santa Catarina, Blumenau Campus, specializing in Sociology. PhD and Master's degree in Political Sociology from the Federal University of Santa Catarina (2012/2001) and degree in Social Sciences from the Federal University of Santa Catarina (1998). She currently coordinates and supervises the Science, Technology and Innovation Laboratory-LabCTI and the Multimeios Workshop. She is leader of the LabTEI research group (Technology, Entrepreneurship and Innovation Laboratory) and researcher at Alteritas: Study and research group on difference, art and education (Department of Specialized Studies in Education-UFSC). She has experience in the areas of Sociology, Anthropology and Political Science, with an emphasis on Political Sociology, Social Studies in Science and Technology, Sociology of Innovation and Entrepreneurial Education.

Author Articles
Indicator Automation with Power BI in the Innovation Sector of a Transformer Company

By Ana Julia Dal Forno Leticia Marques Bauler Selene de Souza Siqueira Soares Marilise Luiza Martins dos Reis Sayao

DOI: https://doi.org/10.5815/ijieeb.2024.04.02, Pub. Date: 8 Aug. 2024

The use of indicators is increasingly common, as they allow the visualization and analysis of useful data to assist in decision-making and planning. In this context, this article aimed to evaluate the process of automating indicators in the area of innovation in a multinational company located in Brazil, a transformer manufacturer. To this end, the themes of indicators and the application of Business Intelligence (BI) and process automation for project manager functions were conceptualized. The action research methodology developed automated indicators to facilitate decision-making and improve the productivity of the project team. These results also allowed for the improvement of visual and systemic management, by presenting all current projects and information on the occupancy rate of each team member, in addition to real-time control of whether goals are being achieved in the company. Thus, it was evident that centralizing data helps managers make more assertive decisions and the case reported can be replicated to other industrial sectors. In the academic sphere, the research also contributed to the evolution of the topic of project integration, automation and visual management of indicators using the Power BI tool.

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