Zhengzhou City, The Public Telephone System Design And Implementation Of Customer Relationship Management

Along with the deepening of the reform of the telecommunications industry and the impact of WTO accession, the domestic telecom enterprises are facing increasingly fierce competition, and in the fierce market competition, high-quality service is an important aspect of attracting customers. The systems analysis and cluster analysis of association rules data mining algorithms such as the telecommunications billing system and operating system, analysis of historical data and IP services for telecommunications data to improve the characteristics of the algorithm, and finally tap the knowledge embedded into the system for the relevant decision-making to help.CRM is the enterprise of a business strategy, it is the customer of the breakdown of the effective organization of corporate resources, develop a customer-centric business activities and the implementation of customer-centric business Liu Cheng, and thus to improve the business for the profit Shouduan capacity, revenue and customer satisfaction. In recent years, Chinese telecom enterprises have increased their investment in IT systems, and gradually establish and improve the operational data store (ODS), enterprise data warehouse (EDW), CRM system and MBOSS systems, telecommunications, enterprise access, data storage and integrated application and continuously enhanced. Some well-known foreign telecom companies such as BT, Verizon and other data mining techniques have been used in customer behavior analysis, research and forecasting, and as an important means to enhance the level of CRM. Chinese telecom companies such as China Telecom, China Mobile, etc. In recent years, data mining, customer segmentation and churn on business issues such as research, to enhance customer relationship management and enterprise management decision levels were useful attempt.Telecommunications industry for the current status of distributed information systems, this paper presents a data warehouse, online analytical processing and data mining of the telecommunications business decision support system solutions to address the collection of scattered data on the problem of historical data analysis for business development policy-making. Based on data warehouses and online analytical (OLAP) technology developed by public telephone customer management system, making these years a large number of business data is no longer idle, but in customer management, business analysis and decision-making plays an important role, these analysis results they can in turn act on business systems and marketing strategies, so that the use of data across the enterprise into a virtuous cycle.