Publicação
Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach
| Resumo: | New and modern data and analytical techniques allow organizations to leverage valuable insights to make informed decisions. Within this thesis, a new artifact was developed, supported in an innovative and comprehensive framework that employs a business intelligence approach to try to understand the dynamics of the Portuguese beer sales market. Several sales influencing factors were identified, each categorized within one of five pillars: microeconomic, macroeconomic, football, tourism, and climate. A list of relevant data sources was also used, including Nielsen, INE, Liga Portugal, and IPMA. The artifact includes an analytical model composed of data preparation, Feature Selection, and Ordinary Least Squares (OLS) regression phases, determining statistical significance among the indicators. Up until this point, according to the research carried out, earlier studies studying the factors impacting beer sales in Portugal are very limited. This emphasizes the uniqueness and significance of this research, which fills a gap in the existing literature and adds to a better understanding of the Portuguese beer industry. Besides the theoretical implications, the outcomes explain the impact of external factors on beer sales, unveiling insights that empower businesses to better prepare for market fluctuations, anticipate trends, and make informed decisions. |
|---|---|
| Autores principais: | Serrador, Beatriz Amorim |
| Assunto: | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | português |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868982836722139136 |
|---|---|
| author | Serrador, Beatriz Amorim |
| author_facet | Serrador, Beatriz Amorim |
| author_role | author |
| contributor_name_str_mv | Baptista, Gonçalo da Costa Aleixo Monteiro Melhorado RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Serrador, Beatriz Amorim\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Baptista, Gonçalo da Costa Aleixo Monteiro Melhorado RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Serrador, Beatriz Amorim |
| datacite.date.Accepted.fl_str_mv | 2024-02-02T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-03-14T16:07:47Z |
| datacite.date.embargoed.fl_str_mv | 2024-03-14T16:07:47Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| datacite.titles.title.fl_str_mv | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| dc.contributor.none.fl_str_mv | Baptista, Gonçalo da Costa Aleixo Monteiro Melhorado RUN |
| dc.creator.none.fl_str_mv | Serrador, Beatriz Amorim |
| dc.date.Accepted.fl_str_mv | 2024-02-02T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-03-14T16:07:47Z |
| dc.date.embargoed.fl_str_mv | 2024-03-14T16:07:47Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/164923 |
| dc.language.none.fl_str_mv | por |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| dc.title.fl_str_mv | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | New and modern data and analytical techniques allow organizations to leverage valuable insights to make informed decisions. Within this thesis, a new artifact was developed, supported in an innovative and comprehensive framework that employs a business intelligence approach to try to understand the dynamics of the Portuguese beer sales market. Several sales influencing factors were identified, each categorized within one of five pillars: microeconomic, macroeconomic, football, tourism, and climate. A list of relevant data sources was also used, including Nielsen, INE, Liga Portugal, and IPMA. The artifact includes an analytical model composed of data preparation, Feature Selection, and Ordinary Least Squares (OLS) regression phases, determining statistical significance among the indicators. Up until this point, according to the research carried out, earlier studies studying the factors impacting beer sales in Portugal are very limited. This emphasizes the uniqueness and significance of this research, which fills a gap in the existing literature and adds to a better understanding of the Portuguese beer industry. Besides the theoretical implications, the outcomes explain the impact of external factors on beer sales, unveiling insights that empower businesses to better prepare for market fluctuations, anticipate trends, and make informed decisions. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/810f11ce-d3ef-4359-b991-fd4b8d5316bd/download |
| id | run_3c4e9bfce2a8673ae2c4329eba4a4db8 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/164923 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | por |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/164923 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Serrador, Beatriz Amorim |
| publishDate | 2024 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| spelling | porpt_PTNew and modern data and analytical techniques allow organizations to leverage valuable insights to make informed decisions. Within this thesis, a new artifact was developed, supported in an innovative and comprehensive framework that employs a business intelligence approach to try to understand the dynamics of the Portuguese beer sales market. Several sales influencing factors were identified, each categorized within one of five pillars: microeconomic, macroeconomic, football, tourism, and climate. A list of relevant data sources was also used, including Nielsen, INE, Liga Portugal, and IPMA. The artifact includes an analytical model composed of data preparation, Feature Selection, and Ordinary Least Squares (OLS) regression phases, determining statistical significance among the indicators. Up until this point, according to the research carried out, earlier studies studying the factors impacting beer sales in Portugal are very limited. This emphasizes the uniqueness and significance of this research, which fills a gap in the existing literature and adds to a better understanding of the Portuguese beer industry. Besides the theoretical implications, the outcomes explain the impact of external factors on beer sales, unveiling insights that empower businesses to better prepare for market fluctuations, anticipate trends, and make informed decisions.application/pdfpt_PTUnderstanding the External Factors Affecting Beer Sales: A Business Intelligence ApproachSerrador, Beatriz AmorimBaptista, Gonçalo da Costa Aleixo Monteiro MelhoradoHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2035450362024-03-14T16:07:47Z2024-02-022024-02-02T00:00:00ZHandlehttp://hdl.handle.net/10362/164923http://purl.org/coar/access_right/c_abf2open accessBusiness IntelligenceExternal FactorsData-Driven AnalysisBeer Sales VolumeRegression AnalysisSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructure1525468 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2024-02-02http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/810f11ce-d3ef-4359-b991-fd4b8d5316bd/download |
| spellingShingle | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach Serrador, Beatriz Amorim Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| status | SINGLETON |
| subject.fl_str_mv | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| title | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| title_full | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| title_fullStr | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| title_full_unstemmed | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| title_short | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| title_sort | Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach |
| topic | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| topic_facet | Business Intelligence External Factors Data-Driven Analysis Beer Sales Volume Regression Analysis SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure |
| url | http://hdl.handle.net/10362/164923 |
| visible | 1 |