Publicação
Sales model: a preliminary approach and methodology
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Amaro, Ana Paula | |
| dc.contributor.author | Pérez, Maria Teresa Henriques De Sousa Lopes e | |
| dc.date.accessioned | 2020-11-11T13:54:32Z | |
| dc.date.available | 2020-11-11T13:54:32Z | |
| dc.date.issued | 2020-01-16 | |
| dc.date.submitted | 2020-01-03 | |
| dc.description.abstract | This work project aims at supporting managers in explaining and predicting sales of specificproducts based on a devised methodology. Product sales time series were analysed andprocessed in order to select the best model type: explanatory models (through ordinary leastsquares method), univariate models (Box Jenkins methodology) or dynamic models mixing upthe two previous approaches. An automatic procedure to put the methodology in practice wasimplemented using Python, due to the huge amount of product sales to be modelled. Theprocess was tested using data from more than 1500 products from Beiersdorf Lisbon. For thesake of confidentiality, the names of the products were modified. The most accurate models aredescribed and analyzed. | pt_PT |
| dc.identifier.tid | 202495582 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/106928 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Nova School of Business and Economics | |
| dc.subject | Regression | pt_PT |
| dc.subject | Arima | pt_PT |
| dc.subject | Box Jenkins | pt_PT |
| dc.subject | Sales model | pt_PT |
| dc.title | Sales model: a preliminary approach and methodology | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/ECO/00124/2013 | |
| oaire.awardTitle | Nova School of Business and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isProjectOfPublication | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| relation.isProjectOfPublication.latestForDiscovery | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | pt_PT |
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