A holistic approach to information mining : internship experience at Oticon A/S

Detalhes bibliográficos
Autor(a) principal: Robu, Vlad
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/89467
Resumo: Internship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
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spelling A holistic approach to information mining : internship experience at Oticon A/SFrequent pattern miningAprioriMarket ResearchPowerBI Reporting SolutionInternship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business IntelligenceIn our days, companies have the huge possibility to understand their customers like never before. They have access to numerous sources of customer related data. Insights that can’t be retrieved from secondary sources, can be gathered through market research. Data is the key element to create customer centric value through data-driven decisions. Making the right decisions based on empirical analysis can become a competitive advantage and a critical success factor for big industry players like Oticon A/S - one of the largest in the world manufacturer of hearing aid devices. This internship report will describe the author’s ten months internship experience in the Market Intelligence Team of Oticon. The description of the projects carried throughout the internship and especially their diversity in terms of tools and methodologies, aims to represent a holistic approach to data mining, showing how the latter should be performed considering it as a part of a larger ecosystem of actors and processes. Quantitative research, development of reporting solutions, database management, and application of frequent pattern mining algorithms, are all used to transform data into actionable knowledge.Santos, Vitor Manuel Pereira Duarte dosRUNRobu, Vlad2019-12-06T17:52:59Z2019-11-192019-11-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/89467TID:202329364enginfo: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:RCAAP2024-03-11T04:39:49Zoai:run.unl.pt:10362/89467Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:00.587674Repositório 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 A holistic approach to information mining : internship experience at Oticon A/S
title A holistic approach to information mining : internship experience at Oticon A/S
spellingShingle A holistic approach to information mining : internship experience at Oticon A/S
Robu, Vlad
Frequent pattern mining
Apriori
Market Research
PowerBI Reporting Solution
title_short A holistic approach to information mining : internship experience at Oticon A/S
title_full A holistic approach to information mining : internship experience at Oticon A/S
title_fullStr A holistic approach to information mining : internship experience at Oticon A/S
title_full_unstemmed A holistic approach to information mining : internship experience at Oticon A/S
title_sort A holistic approach to information mining : internship experience at Oticon A/S
author Robu, Vlad
author_facet Robu, Vlad
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Robu, Vlad
dc.subject.por.fl_str_mv Frequent pattern mining
Apriori
Market Research
PowerBI Reporting Solution
topic Frequent pattern mining
Apriori
Market Research
PowerBI Reporting Solution
description Internship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
publishDate 2019
dc.date.none.fl_str_mv 2019-12-06T17:52:59Z
2019-11-19
2019-11-19T00:00:00Z
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/10362/89467
TID:202329364
url http://hdl.handle.net/10362/89467
identifier_str_mv TID:202329364
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
repository.mail.fl_str_mv
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