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Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

In: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

Author

Listed:
  • Juan Vidal-Gil

    (Universidad Complutense de Madrid)

  • Ramón Alberto Carrasco-González

    (Universidad Complutense de Madrid)

  • María Francisca Blasco-López

    (Universidad Complutense de Madrid)

Abstract

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.

Suggested Citation

  • Juan Vidal-Gil & Ramón Alberto Carrasco-González & María Francisca Blasco-López, 2024. "Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture," Springer Proceedings in Business and Economics, in: Antonio J. Guevara Plaza & Alfonso Cerezo Medina & Enrique Navarro Jurado (ed.), Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability, pages 103-112, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-52607-7_10
    DOI: 10.1007/978-3-031-52607-7_10
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