Publicação
EY on the prize: optimizing management practices with data analytics in the area of digital assurance in Ernst&Young
| Resumo: | 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. |
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| Autores principais: | Ferreira, Marta Vilela Macedo |
| Assunto: | Artificial Intelligence Business Intelligence |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | 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. |
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