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Understanding the External Factors Affecting Beer Sales: A Business Intelligence Approach

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Resumo(s)

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.

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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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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

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