Publicação
Customer Analytics: Data Integration and Visit to Stores Study at Altice Portugal
| dc.contributor.advisor | Cabral, Pedro da Costa Brito | |
| dc.contributor.advisor | Viana, Marco Nuno Ferreira | |
| dc.contributor.author | Domingues, Mariana Nunes | |
| dc.date.accessioned | 2023-02-28T18:08:33Z | |
| dc.date.available | 2023-02-28T18:08:33Z | |
| dc.date.issued | 2023-01-26 | |
| dc.description | Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics | pt_PT |
| dc.description.abstract | As in other industries, in telecommunications it’s increasingly important to know our customers, analyzing the data that we manage to obtain and those that customers provide us. This is also important for us to have a competitive advantage over our competitors. This document describes the work on some projects developed during an internship at Altice Portugal, in the Consumer Segment department, describing the implementation and methodologies used in data analysis. Concepts that were necessary for the elaboration of the projects are presented, as well as the tools used to develop them. One of the projects was the development of a predictive model in which the objective was to assign a customer to one of our active stores, trying to understand which variables, in addition to the distance to the store, can influence this choice. The work carried out allowed us to have a more unified structure of information, without redundancies and several sources of information; it also allowed reviewing obsolete processes and information that is no longer useful today, cleaning up necessary resources; and finally, it allowed us to get to know the customer better, understanding better their visits to the physical store. | pt_PT |
| dc.identifier.tid | 203239032 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/149815 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Data Science | pt_PT |
| dc.subject | CRISP-DM | pt_PT |
| dc.subject | Machine Learning | pt_PT |
| dc.subject | Supervised Learning | pt_PT |
| dc.subject | Multiclassification | pt_PT |
| dc.title | Customer Analytics: Data Integration and Visit to Stores Study at Altice Portugal | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Métodos Analíticos para a Gestão | pt_PT |