Data Science - Analyse grosser Datenmengen zur Qualität unserer Dienstleistungen und Services

dc.contributor.authorAsani, Haris
dc.contributor.authorBraillard, Nelson
dc.contributor.authorSchaller, Pascal
dc.contributor.authorWeber, Dominic
dc.contributor.mentorWache, Holger
dc.contributor.partnerWorldline / Six Payment Services, Zürich
dc.date.accessioned2023-12-22T16:23:59Z
dc.date.available2023-12-22T16:23:59Z
dc.date.issued2020
dc.description.abstractIt can be possible that payment terminals that are installed and maintained by Worldline generate malfunctions or do irregular reboots throughout their lifetime. If a malfunction occurs, data is sent from the terminal to the servers of Worldline. This data describes the event that occurred with various attributes. The data that is sent from the terminals to the servers of Worldline provides valuable information for Worldline, which is not yet extracted. The key point of this project is therefore to extract knowledge from this data to improve the reliability of terminals in several ways.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/40809
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialBasel
dc.subject.ddc330 - Wirtschaft
dc.titleData Science - Analyse grosser Datenmengen zur Qualität unserer Dienstleistungen und Services
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeSemesterarbeit
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutBachelor of Science
relation.isMentorOfPublication9a5348f4-47b3-437d-a1f9-7cf66011e883
relation.isMentorOfPublication.latestForDiscovery9a5348f4-47b3-437d-a1f9-7cf66011e883
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