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With the proposed communication system, get rid of the monopoly, open markets, and other hot spots, making the communications industry is facing fierce competition and challenges, the market is relatively matured, more complex competitive environment. Therefore, Hebei Netcom urgent need to enhance the the internal scientific decision-making ability, enhance the correct judgment of the market operating and development to a higher level of rational competition, from simple price competition. Through years of construction and operation of the existing business systems, the accumulation of vast amounts of business operations data, but highly professional business systems, each managing a particular type of information, the data format and access in many different ways, these huge amounts of data in the original operating system often can not be refined into useful information available to business analysis and management decision-makers in a timely manner. Decision analysis system came into being, it is in this context and integrated business systems through the establishment of the enterprise data warehouse, data resources, grasp the behavioral characteristics of consumer spending and the market forecast of a business, and many other information. And on this basis to develop targeted marketing plan, and retain profitable customers better service, improve call volume and utilization at a lower cost than competitors to win new customers and expand market share; give up the non-profit and poor credit customers, reduce operational risks and costs, and to improve the company's market competitiveness. The author has long been engaged in the telecommunications project construction management, this paper mainly to the loss of the forecast subsystem construction of a summary of the content and process of decision analysis system PHS customers. In this paper, the research background, the development in the world and the organizational structure of the article; theoretical basis of the construction decision analysis system used in data warehousing, online analytical processing (OLAP), ETL (data extraction, transformation and loading) and key technologies; decision analysis system requirements and functional structure of the overall analysis; decision analysis system PHS customer churn prediction subsystem, for example, describes the the PHS customer churn definition, to determine the churn prediction the main indicators, elaborated on the processes and procedures established by the prediction model and predict the results were analyzed; Finally, the full text of the summary and outlook.
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