The use of analytics as a tool of decision support system: the Abaco S.p.A case study.

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dc.contributor.advisor Tolotti, Marco it_IT
dc.contributor.author Bido, Chiara <1998> it_IT
dc.date.accessioned 2022-06-25 it_IT
dc.date.accessioned 2022-10-11T08:27:08Z
dc.date.issued 2022-07-15 it_IT
dc.identifier.uri http://hdl.handle.net/10579/21926
dc.description.abstract This dissertation wants to study how to improve the business’ performance by better using the available information. To do this, a deep analysis of the data coming from the general management can help to develop a Decision Support System, that is a methodology based on the use of the analytics to support decisional processes. To better understand the context and to provide a practical application of this, the data analysis will be applied to Abaco S.p.A and, specifically, to the Mobility division. Abaco is a company based in Montebelluno that supports public entities in the evolution and in the changes of the cities, by developing projects and solutions for a more efficient management of the city’s parking spots and of the mobility in general. From an internship period in Abaco, it was possible to collect data for this analysis. These, will be useful for two purposes. First, the data analysis can help for a better report of the company situation, in order to have a real and direct control of it and provide an additional service for the public entity. Second, the data can be used to build some performance measures and index. This final part will be developed by using SAP Analytic Cloud, a platform that allow companies to work with its data and to analyze them. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Chiara Bido, 2022 it_IT
dc.title The use of analytics as a tool of decision support system: the Abaco S.p.A case study. it_IT
dc.title.alternative The use of analytics as a tool of Decision Support System: The Abaco S.p.A. case study it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2021/2022_sessione estiva_110722 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 888011 it_IT
dc.subject.miur SECS-S/06 METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Chiara Bido (888011@stud.unive.it), 2022-06-25 it_IT
dc.provenance.plagiarycheck Marco Tolotti (tolotti@unive.it), 2022-07-11 it_IT


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