Selene de Souza Siqueira Soares

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

E-mail: selene.soares@ufsc.br

Website:

Research Interests:

Biography

Selene de Souza Siqueira Soares, she has a degree in Economic Sciences from the Federal University of Espírito Santo (2003), a Master's degree (2007), a PhD (2012) in Production Engineering from the Federal University of São Carlos and a post-doctorate from the Faculty of Economics, Administration and Accounting at the University of São Paulo (FEA/USP). Selene is currently a professor in the Department of Textile Engineering at the Federal University of Santa Catarina UFSC-Campus Blumenau and Associate member of the All 4 Food Program. She works as a researcher at the Organizational Studies Center (NAP / CORs), SINERGIA (UFSC) and All4Food.

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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