The Application Of RFID Technology In Tourist Company And The Optimization Of Mass Data Statistics

In recent years, with the rapid development of information technology, an increasing number of enterprises consider information management as the top priority of their development. Especially with the sharp growth of the tourists amount, a high level of management is required in tourism enterprises. Better performance of the tourism enterprises is expected to obtain by accomplishing informatization.As the enterprise revenue business, ticketing service plays a crucial role in the development of tourism enterprises during their process of informatization. Ticketing service has not only to satisfy the enterprise’s daily business of ticket sales and checking, but also to help getting a fast and accurate access to the ticket information by developing information technology. At the same time, the enterprises can integrate their Financial information and tourist information together with implementing a real-time monitoring of the venues through ticketing service information system. Moreover, the administrators also need to achieve effective management with the help of a series of statements. However, the degree of ticket informatization in China’s tourism industry is quite low at the present. As a result, the tourism enterprises failed to get effective access to information, and security accident takes place frequently with unable to achieve real-time monitoring of tourists. In order to rapidly respond the statistical requirements of the data for tourism enterprises, it is an important problem demanding prompt solution to achieve the ticketing process informatization and get an effective access to the relevant data.Firstly analysed the present business condition of a tourist company and then proposed a new ticketing method-RFID. Also introduced the application of the RFID technology in the tourist companies, by which collecting business datas, then making statistical analysis for these mass datas. Then the concepts of granularity, hierarchy etc are analyzed during a statistical process. The concept of dimension is given in the database and the rules of dimensional sorting are explained. This paper also introducted aggregation operation and the concept of aggregation compatibility. In the definition of statistics, statistics is consists of two parts, that is filter criteria and aggregation operations. The statistics is described in detail from the point of its characteristics identification and evaluation system, and is divided into different lineages according to certain rules by this paper. Ultimately, an automatic cumulative table algorithm based on statistical process graphs is proposed to help responding quickly to demand in the information statistical process for business.Automatic cumulative table is a optimized statistical technology, which can effectively cope with multi-table joining and complex aggregation operations by applying to trade space for time. This algorithm avoid the defect of traditional statistic that the speed is too slow, and can be used in the actual operations of the enterprise. It plays certain significance of application.