Impact of Big Data on International Firms. Focus on how Luxottica is reaching an efficient maintenance system through Data Analysis

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dc.contributor.advisor Vaia, Giovanni it_IT Picello, Alessandro <1992> it_IT 2018-02-19 it_IT 2018-06-22T08:46:14Z 2018-03-14 it_IT
dc.description.abstract What is called the third industrial revolution, consists on the revolution that internet has brought to our life, enhancing its quality and also the quality of the services we all have at our disposal at any moments. The main focus of this thesis is on the company point of view and in the ways they are using Internet and new technologies to improve their business. The first part of the thesis will provide a wide introduction on Big Data application at Business level, providing also some successful case studies highlighting how Data Analysis can improve Business Models and increases profits through it. In the second part the analysis shifts from the whole enterprise point of view to a more specific one, to investigate how the massive amount of data can improve the manufacturing processes. Controlling systems and data flow analysis will be taking in consideration to give consistency to the introduction of Data Analysis into the organisations. Finally, a more detailed business case will be presented: a deep analysis will be done about how one of the most profitable Italian companies is using Data Analysis to reach better efficiency and to maintain the production at optimal levels. The company is Luxottica, and the analysis will be focused on how they are going towards predictive maintenance through a massive installations of sensors on the machines and a more efficient and digital-driven systems to manage all those information. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Alessandro Picello, 2018 it_IT
dc.title Impact of Big Data on International Firms. Focus on how Luxottica is reaching an efficient maintenance system through Data Analysis it_IT
dc.title.alternative The Impact of Big Data on Modern Companies. Focus on Predictive Maintenance Programs it_IT
dc.type Bachelor Thesis it_IT Economia e gestione delle aziende it_IT Laurea magistrale it_IT Dipartimento di Management it_IT
dc.description.academicyear 2016/2017, sessione straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 839380 it_IT
dc.description.note it_IT it_IT it_IT 10000-01-01
dc.provenance.upload Alessandro Picello (, 2018-02-19 it_IT
dc.provenance.plagiarycheck Giovanni Vaia (, 2018-03-05 it_IT

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