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Resumo(s)
This report presents the findings from a three-month internship at EY within the DAT
Team, in the Assurance Service Line within the FAAS division. The internship’s primary
goal was to explore the application of data analytics techniques to optimize a management
process, improving operational efficiency and enhancing the quality of work for
employees.
The internship involved a analysis of existing processes, identifying areas for
improvement and inefficiencies. A review of industry best practices was conducted to
guide the development of a solution tailored to the specific entrepreneurial context. The
solution developed used data analytics to automate processes, improve data integrity and
optimize resource allocation.
The findings demonstrate how data analytics can drive improvements in resource
management and overall strategic decision-making. This report shows the significant
impact that data analytics can have on optimizing business processes, demonstrating the
potential of data-driven approaches to improve organizations.
Descrição
Palavras-chave
Artificial Intelligence Business Intelligence
Contexto Educativo
Citação
Ferreira, Marta Vilela Macedo (2025). “EY on the prize: optimizing management practices with data analytics in the area of digital assurance in Ernst&Young”. Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão
Editora
Instituto Superior de Economia e Gestão
