Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/146849 |
Resumo: | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
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Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence FrameworkBusiness IntelligenceData WarehousingAdvanced Pricing AgreementsPricing RulesDiscount DashboardsPricing AnalysisProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIn companies that use advanced pricing agreements, pricing managers are responsible for setting the new and adjusted discounts from time to time. These companies are usually of great dimension and so the number of products and customers is extensive, which causes the decision-making to be challenging for the pricing managers. To aid in this process, this project report incorporates a business intelligence framework to model the data into a dimensional model that will provide the pricing managers with business insights by allowing them to have a more targeted and detailed view of the data through multiple contextual perspectives. The data sources used were provided by a client at BI4ALL and consist of two different JDE extracts: an export of the advanced pricing agreements that include all the pricing rules and an export of the sales data following those pricing rules. Both sources of data will be used to implement a business intelligence framework. The final outcome of this project report is presented in a dashboard with multiple visualizations, where the pricing manager can navigate and obtain data in a dynamic way according to the information requested. This will allow for a better analysis, and thus, for better pricing adjustment and optimization.Henriques, Roberto André PereiraRUNMarques, Tiago Daniel Gradert2023-01-02T15:43:08Z2022-11-222022-11-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/146849TID:203138619enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:27:46Zoai:run.unl.pt:10362/146849Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:41.647203Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
title |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
spellingShingle |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework Marques, Tiago Daniel Gradert Business Intelligence Data Warehousing Advanced Pricing Agreements Pricing Rules Discount Dashboards Pricing Analysis |
title_short |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
title_full |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
title_fullStr |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
title_full_unstemmed |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
title_sort |
Presenting Business Insights on Advanced Pricing Agreements Using a Business Intelligence Framework |
author |
Marques, Tiago Daniel Gradert |
author_facet |
Marques, Tiago Daniel Gradert |
author_role |
author |
dc.contributor.none.fl_str_mv |
Henriques, Roberto André Pereira RUN |
dc.contributor.author.fl_str_mv |
Marques, Tiago Daniel Gradert |
dc.subject.por.fl_str_mv |
Business Intelligence Data Warehousing Advanced Pricing Agreements Pricing Rules Discount Dashboards Pricing Analysis |
topic |
Business Intelligence Data Warehousing Advanced Pricing Agreements Pricing Rules Discount Dashboards Pricing Analysis |
description |
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-22 2022-11-22T00:00:00Z 2023-01-02T15:43:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/146849 TID:203138619 |
url |
http://hdl.handle.net/10362/146849 |
identifier_str_mv |
TID:203138619 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138118270451712 |