Publicação
IMPLEMENATION OF A BUSINESS INTELIGENCE & ANALYTICS REPORTING SOLUTION FOR THE EXPORT AND IMPORT SECTOR A CASE STUDY ON THE FREIGHT FORWARDING INDUSTRY
| Resumo: | Every action an enterprise makes generates data. The real challenge lies in harnessing this data's potential to create value for customers, and stakeholders, and to gain a competitive edge in a fierce market. The exporting and importing industry bear the weight of this challenge firsthand. In an arena where meticulous attention to detail and pricing is paramount, organizations must navigate a path to excellence in customer service. This master thesis delves into the freight forwarding industry, showcasing a project developed on Rangel. The focal point is data analytics and business intelligence. This study compiles advanced data visualization techniques, enhancing report readability and interaction, and enabling the extraction of invaluable insights. A comprehensive comparison of various business intelligence tools, evaluating their data visualization capabilities, scalability, user-friendliness, pricing, and key features, reveals several noteworthy options. Among these, Power BI emerges as the most fitting choice for organizations commencing their journey into a business intelligence-oriented culture. Adopting a user-centered design approach empowers the creation of reports finely attuned to the sector's unique needs. In the culmination of this research, a Long-Short-Term Memory (LSTM) machine- learning model was built, capable of predicting freight prices with real data inputs. This model stands as a testament to the convergence of data science and logistics, offering a powerful tool for price prediction and resource optimization. Ultimately, this work compiles rigorous research and a compelling project, forming a comprehensive blueprint for the implementation of a business intelligence solution that will elevate customer service standards within the freight forwarding industry. |
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| Autores principais: | Salvador, Guilherme da Costa |
| Assunto: | Business Intelligence data visualization data analytics freight forwarding machine learning |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | Every action an enterprise makes generates data. The real challenge lies in harnessing this data's potential to create value for customers, and stakeholders, and to gain a competitive edge in a fierce market. The exporting and importing industry bear the weight of this challenge firsthand. In an arena where meticulous attention to detail and pricing is paramount, organizations must navigate a path to excellence in customer service. This master thesis delves into the freight forwarding industry, showcasing a project developed on Rangel. The focal point is data analytics and business intelligence. This study compiles advanced data visualization techniques, enhancing report readability and interaction, and enabling the extraction of invaluable insights. A comprehensive comparison of various business intelligence tools, evaluating their data visualization capabilities, scalability, user-friendliness, pricing, and key features, reveals several noteworthy options. Among these, Power BI emerges as the most fitting choice for organizations commencing their journey into a business intelligence-oriented culture. Adopting a user-centered design approach empowers the creation of reports finely attuned to the sector's unique needs. In the culmination of this research, a Long-Short-Term Memory (LSTM) machine- learning model was built, capable of predicting freight prices with real data inputs. This model stands as a testament to the convergence of data science and logistics, offering a powerful tool for price prediction and resource optimization. Ultimately, this work compiles rigorous research and a compelling project, forming a comprehensive blueprint for the implementation of a business intelligence solution that will elevate customer service standards within the freight forwarding industry. |
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