GR Semicolon EN

Show simple item record

dc.contributor.author
Raftoudi, Christina
en
dc.date.accessioned
2023-04-26T12:30:51Z
dc.date.available
2023-04-26T12:30:51Z
dc.date.issued
2023-04-26
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/30197
dc.rights
Default License
dc.subject
Project management
el
dc.subject
Analytics
el
dc.title
Project Management Analytics
en
heal.type
masterThesis
en_US
heal.dateAvailable
2023-04-03
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Information & Communication Technology Systems
en_US
heal.publicationDate
2023-04-03
heal.abstract
This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic University. The paper attempts to address the problem of implementing a business intelligence solution against project management data. The issue has been deemed an interesting subject as emerging technologies like Business Intelligence and data analytics are gradually gaining more attention across all sectors. At the same time, project management remains a core aspect for organizations that keeps evolving, incorporating latest technologies trends. In order to examine how these two concepts can be combined, we have detailed project management, methodologies, tools, and practices, as well as business intelligence and data analytics on the first chapters of the paper. Following that part, we have conducted a handled experiment using the Power BI platform to demonstrate how a business intelligence solution can be used against project management data.
en
heal.advisorName
Magnisalis, Ioannis
el
heal.committeeMemberName
Peristeras, Vassilios
en
heal.committeeMemberName
Berberidis, Christos
el
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


This item appears in the following Collection(s)

Show simple item record

Related Items