Logo do repositório
 
Publicação

EY on the prize: optimizing management practices with data analytics in the area of digital assurance in Ernst&Young

dc.contributor.advisorRomão, Mário
dc.contributor.advisorDeus, Nuno
dc.contributor.authorFerreira, Marta Vilela Macedo
dc.date.accessioned2025-05-10T09:18:05Z
dc.date.available2025-05-10T09:18:05Z
dc.date.issued2025-02
dc.description.abstractThis 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, 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 Gestãopt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/100589
dc.language.isoengpt_PT
dc.publisherInstituto Superior de Economia e Gestãopt_PT
dc.subjectArtificial Intelligencept_PT
dc.subjectBusiness Intelligencept_PT
dc.titleEY on the prize: optimizing management practices with data analytics in the area of digital assurance in Ernst&Youngpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsclosedAccesspt_PT
rcaap.typemasterThesispt_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
DM-MVMF-2025.pdf
Tamanho:
1.99 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição: