dc.contributor | Martínez Sánchez, Joan |
dc.contributor.author | Amargant Pérez, Ferran |
dc.date.accessioned | 2017-05-31T16:29:31Z |
dc.date.issued | 2017-01-10 |
dc.identifier.uri | http://hdl.handle.net/2117/105081 |
dc.description.abstract | This project consists on the use of such a growing technology like Big Data, to analyze a big amount of information collected of all the different costumers a company has during the period of two years. Through this data a group can understand in a statistical and visual way how the costumers behave. Thanks to the analysis of this information, different decisions can be made for the general company’s benefit.
The analysis of all the information will be done following carefully the Cross – Industry Standard Process for Data Mining. This process can be successfully fulfilled through the use of RapidMiner, a powerful tool capable to analyze, perform and evaluate the data in many different ways. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Enginyeria elèctrica |
dc.subject.lcsh | Big data |
dc.subject.lcsh | RapidMiner (Electronic resource) |
dc.title | Big data applied to the analysis of business process |
dc.type | Bachelor thesis |
dc.subject.lemac | Macrodades |
dc.rights.access | Restricted access - author's decision |
dc.date.lift | 10000-01-01 |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Escola d'Enginyeria de Barcelona Est |
dc.audience.degree | GRAU EN ENGINYERIA ELÈCTRICA (Pla 2009) |
dc.contributor.covenantee | SEAT S.A. |