Data platform for a data-driven tourism organization: A Conceptual Architecture

• Autores: Joan Vidal, Ramón Alberto Carrasco González, María Francisca Blasco López
• Localización: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability / Antonio Jesús Guevara Plaza (ed. lit.), Alfonso Cerezo Medina (ed. lit.), Enrique Navarro Jurado (ed. lit.), 2024, ISBN 978-3-031-52607-7, págs. 103-112
• Idioma: inglés
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• Resumen

  • The tourism sector is one of the sectors that has undergone most changes in recent years due to digital transformation. One of the pillars of this transformation is the management of organizations based on data-driven decision making. The raw material for these data-driven strategies is, of course, the sources of information used, which have changed and grown significantly in recent years. This article attempts to provide a conceptual architecture for a modern data platform that effectively manages and analyses these information sources and facilitates data-driven decision-making in tourism organizations.