Through a literature review on the theory and practice of a knowledgeable destination from abroad,some conclusions are drawn as follows:(1)The competitiveness of tourism destinations depends largely on how information needs of stakeholders can be satisfied through ICT-based infrastructures and services.(2)Managerial competences and organizational learning in tourism destinations could be significantly enhanced by applying methods of business intelligence (BI).(3)The knowledge-based paradigm regards tourism as a complex social phenomenon where knowledge is the basis for sustainable destination development. A general framework for a knowledge destination is put forward in the paper which includes data sources, data's extraction, transformation and load (ETL), a data warehouse, a knowledge creation layer and a knowledge application layer. Each part of the framework which involves their contents, application status are discussed in detail as well. Moreover, a tourism decision support platform based on data warehouse is constructed, with using business intelligence technology. The system's data sources and indicators, technical architecture, knowledge presentation and application cases are also provided. Be the help of the platform, tourism managers or decision-makers can:(1) flexibly access the data by using various criteria;(2)quickly grasp the market's development status and trends by viewing or combining different multi-dimensional reports;(3)easily analyze the correlation between data to mine the in-depth causes for the data;(4) customize their own analysis and save them. The paper concludes by providing some challenges of the development of the platform and some future work are also offered.