Samsung field lab voids: development of a data science application using agile methodology

Bibliographic Details
Main Author: Fleer, Jannis Marvin
Publication Date: 2021
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/139920
Summary: VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. The individual work discusses the development of a data analytics dashboard. It elaborates why an agile development methodology has been implemented and lays out the selection of the underlying development framework. Furthermore, the resulting application is demonstrated and explained.
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spelling Samsung field lab voids: development of a data science application using agile methodologyMachine learningBusiness analyticsDemand planningAgile practicesMarketing analyticsSoftware developmentApplied data scienceDomínio/Área Científica::Ciências Sociais::Economia e GestãoVOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. The individual work discusses the development of a data analytics dashboard. It elaborates why an agile development methodology has been implemented and lays out the selection of the underlying development framework. Furthermore, the resulting application is demonstrated and explained.Han, QiweiMeixedo, BonifácioRUNFleer, Jannis Marvin2022-01-212021-12-172027-12-17T00:00:00Z2022-01-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/139920TID:202999084enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:02:25Zoai:run.unl.pt:10362/139920Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:33:20.617162Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Samsung field lab voids: development of a data science application using agile methodology
title Samsung field lab voids: development of a data science application using agile methodology
spellingShingle Samsung field lab voids: development of a data science application using agile methodology
Fleer, Jannis Marvin
Machine learning
Business analytics
Demand planning
Agile practices
Marketing analytics
Software development
Applied data science
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Samsung field lab voids: development of a data science application using agile methodology
title_full Samsung field lab voids: development of a data science application using agile methodology
title_fullStr Samsung field lab voids: development of a data science application using agile methodology
title_full_unstemmed Samsung field lab voids: development of a data science application using agile methodology
title_sort Samsung field lab voids: development of a data science application using agile methodology
author Fleer, Jannis Marvin
author_facet Fleer, Jannis Marvin
author_role author
dc.contributor.none.fl_str_mv Han, Qiwei
Meixedo, Bonifácio
RUN
dc.contributor.author.fl_str_mv Fleer, Jannis Marvin
dc.subject.por.fl_str_mv Machine learning
Business analytics
Demand planning
Agile practices
Marketing analytics
Software development
Applied data science
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Machine learning
Business analytics
Demand planning
Agile practices
Marketing analytics
Software development
Applied data science
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. The individual work discusses the development of a data analytics dashboard. It elaborates why an agile development methodology has been implemented and lays out the selection of the underlying development framework. Furthermore, the resulting application is demonstrated and explained.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
2022-01-21
2022-01-21T00:00:00Z
2027-12-17T00:00:00Z
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/10362/139920
TID:202999084
url http://hdl.handle.net/10362/139920
identifier_str_mv TID:202999084
dc.language.iso.fl_str_mv eng
language eng
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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