The impact of big data on organisations: understanding data-driven decision making

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dc.contributor.advisor Tolotti, Marco it_IT
dc.contributor.author Bolis, Alberto <1995> it_IT
dc.date.accessioned 2018-10-02 it_IT
dc.date.accessioned 2019-02-19T15:12:00Z
dc.date.issued 2018-10-31 it_IT
dc.identifier.uri http://hdl.handle.net/10579/13580
dc.description.abstract An increasing body of literature reports that business analytics help companies to capture value by exploiting opportunities derived by the abundant data which is now available thanks to new technologies. In the new digitisation era, every activity leaves a trial of data that can be leveraged to improve knowledge about business processes, market conditions and customer behaviour. In this context, big data is configuring itself as the new propeller of decision-making processes, enabling organisations to generate more informed and detailed decisions. Despite the long tradition of research in this area, which links directly business value to the adoption of business analytics, the thesis embraces the idea that technological adoption is not sufficient by itself to capture value. In particular, the purpose of the thesis is to investigate how decision-making processes and organisational structures need to change in order to enable companies capturing the value expected of investments in business analytics it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Alberto Bolis, 2018 it_IT
dc.title The impact of big data on organisations: understanding data-driven decision making it_IT
dc.title.alternative The impact of big data on organisations: understanding data-driven decision making it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e gestione delle aziende it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2017/2018, lauree sessione autunnale it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 847879 it_IT
dc.subject.miur SECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESE 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 Alberto Bolis (847879@stud.unive.it), 2018-10-02 it_IT
dc.provenance.plagiarycheck Marco Tolotti (tolotti@unive.it), 2018-10-22 it_IT


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