Application Of The Data Warehouse In China Mobile Communication System

Data warehouse technology originated from and go on need that dispose of a large number of data, emerge in pace with need that the business uses. Compared with traditional data base technology, data warehouse offer a kind support for making decision and analysis, Jump out category that deal with traditional OLTP. So in recent years, data warehouse technology develop very quickly, and has got application in varios trade. Along with the breaking of the monopolize pattern the competition among the domestic telecommunication operators is fiercer and fiercer, and difference of network service quality, etc. reduce gradually too. Simple Warrior of price cause demage to both sides in competition. So telecommunication enterprise are seeking method of improving service quality and raising market competitiveness. faced with the fiercer and fiecer market competition , telecommunication enterprise need improving science decision ability urgently, Strengthen correct judgement in such aspects as market management, so telecommunication operator need warehouse technology. On the other hand, telecommunication enterprise has accumulated a large amount of business running data,these are all electronic data , a lot of valuable information can be found from these user data. for example, consumer behavior of user analyse feature . According to these consumer behavior feature, market department can offer stronger pertinence tactics for market service, And has economized the cost of the marketing. So a large number of electron data of telecommunication enterprise build data warehouse establishing the technological foundation. Data mining is to discover useful information and potential knowledge that utilize various kinds of analyse tools to find relations both models and data .They can be used for making prediction. Generally speaking, basic data mining includes three following parts generally: preparation of data , setting-up of the model , verification and appraisal of the data model. (1)Preparation of data Preparation of data includes data sampling, exploration , analysis and pretreatment of data characteristics, defining the question , choosing the suitable data , and adjusting in case of necessity at the same time. It is essential to choose the correct data source of the data mining project. (2) Setting-up of the model Setting-up of the model is the key link of data mining. For building model, the most important thing is that it is a repeated course. It needs to investigate different models in order to judge which model most usefuly to your commercial problem. 3) Verification and appraisal of the data model We will draw a series of analysis results , modes or models from above-mentioned course. One of the appraised methods is to use the originally data model to examine directly. If this step can not be passed, then the value of decision support information is not very great. Generally speaking, we should get better appraisal in this step. It is said that the excavated data samples corresponded to regularity. At first ,this text has explained the basic principle of the data warehouse, how to set up the model of OLAP, Analytical method of OLAP. The basic conception that the data mining , the commonly used method of the data mining. Second , application in elecommunication field was analyzied,the writer put forward common analysis theme in telecommunication field, Propose multidimensional structure that OLAP analyse to typical theme, Concrete analytical method. Put forward concrete telecommunication decision of field analyse theme , choose proper data mining algorithm and corresponding implementation data mining process , And analyze the result of data mininging .