Constructing a Data Warehouse Based Decision Support Platform for China Tourism Industry

Xiangjie Qiao (), Lingyun Zhang, Nao Li and Wei Zhu
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Xiangjie Qiao: Beijing Union University
Lingyun Zhang: Beijing Union University
Nao Li: Beijing Union University
Wei Zhu: Beijing Union University

A chapter in Information and Communication Technologies in Tourism 2014, 2013, pp 883-893 from Springer

Abstract: Abstract Rapid development of China’s tourism industry has brought new challenges to tourism public management and service systems. How to adapt to highly complex tourism market changes, to formulate reasonable development strategies, to meet the demand of independent, flexible, personalized tourism service requirements, and to acquire long-term sustainable development and maintenance of the tourism industry have become major issues for developing the current tourism industry in China. The big data based concept has provided research ideas and solutions for the innovation of tourism public management and service systems. A decision-making support and data analysis platform based on data warehousing is put forward in this paper; business intelligence is introduced into the platform as well. The framework of the platform, some key steps of implementation, and application cases are discussed in the paper. Through our research, it is expected to provide a resource for other countries who are trying to build a similar data warehouse application for their tourism industry.

Keywords: Data warehouse; Business intelligence; Data mining; Big data; Tourism decision support platform (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-03973-2_64

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DOI: 10.1007/978-3-319-03973-2_64

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