Application of data mining for identifying and predicting room bookings - window of opportunity

Detalhes bibliográficos
Autor(a) principal: Maçaroco, Catarina Caldeira
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/10362/89469
Resumo: Project Work 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 Application of data mining for identifying and predicting room bookings - window of opportunitySales trendsMicro momentsMacro momentsZero Moment of TruthBooking WindowProject Work presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business IntelligenceThis study investigates the search patterns for predicting hotel bookings. Using Expedia’s search and purchase data, I identified the user’s booking window and which events have a higher effect on the booking likelihood. The tourism industry has seen exponential growth over the last two decades, much due to global socioeconomic changes, globalization and internet massification. Portugal is finally reaping its share of profit and continues winning “best destination” prizes year after year. It is now part of a very competitive ecosystem where distribution plays a determinant role in whether the touristic product survives or not. Big players like Expedia and Booking.com have taken control of a big chunk of the market’s revenue because they understood that the large amounts of data they have enabled predicting demand hence offering highly competitive deals. Only by understanding the booking drivers one can negotiate better distribution deals and lower commissions through making better sales predictions and enhancing marketing and revenue strategies, hence the purpose of this study being to use data mining to find patterns in room bookings, enabling this industry to become an even more important source for the country’s GDP. Through the analysis of consumer behavior and booking times and the use of time series analysis and machine learning, it is possible to find patterns that can be applied across not only Hospitality but other industries as well. By looking for the connections and the relevance of each feature on the final predictions, a new window of opportunity will open for marketing and sales professionals.Henriques, Roberto André PereiraRUNMaçaroco, Catarina Caldeira2019-12-06T18:48:41Z2019-11-222019-11-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/89469TID:202329445enginfo: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:10362/89469Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:00.681373Repositório 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 Application of data mining for identifying and predicting room bookings - window of opportunity
title Application of data mining for identifying and predicting room bookings - window of opportunity
spellingShingle Application of data mining for identifying and predicting room bookings - window of opportunity
Maçaroco, Catarina Caldeira
Sales trends
Micro moments
Macro moments
Zero Moment of Truth
Booking Window
title_short Application of data mining for identifying and predicting room bookings - window of opportunity
title_full Application of data mining for identifying and predicting room bookings - window of opportunity
title_fullStr Application of data mining for identifying and predicting room bookings - window of opportunity
title_full_unstemmed Application of data mining for identifying and predicting room bookings - window of opportunity
title_sort Application of data mining for identifying and predicting room bookings - window of opportunity
author Maçaroco, Catarina Caldeira
author_facet Maçaroco, Catarina Caldeira
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Maçaroco, Catarina Caldeira
dc.subject.por.fl_str_mv Sales trends
Micro moments
Macro moments
Zero Moment of Truth
Booking Window
topic Sales trends
Micro moments
Macro moments
Zero Moment of Truth
Booking Window
description Project Work 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 2019-12-06T18:48:41Z
2019-11-22
2019-11-22T00:00:00Z
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/10362/89469
TID:202329445
url http://hdl.handle.net/10362/89469
identifier_str_mv TID:202329445
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
instacron_str 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
repository.mail.fl_str_mv
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