Design And Implementation Of Personal Quality Customer Relationship System Based On Data Centralizing

With the fast development of economic globalization and the increasingly fierce market competition, the requirement of customer relation management is increase sophisticated. Personal Customer Relationship Management (PCRM) is an important background support system in the marketing areas. PCRM provides effective support to commercial bank personal services, and plays an important role in many aspects such as optimizing customer relationships, improving the quality of enterprise and winning the market competition. PCRM data center consolidation can increase the data analysis abilities of the system, expand customer analysis model and improve data consistency and accuracy to enhance the function of the system on decision analysis. PCRM data center consolidation alsobuilds a more complete united view of customers and meets the application requirements of marketing support for personal on different levels. It can strengthen collaborative capacity of each marketing channel, increase the targeted marketing activities. The data center consolidation could meet the demand of the growth of business products and increase the respond speed of business products analysis system. It can unify program version of the system and alleviate the pressure of the system operational security work.This system reflects the hierarchical design concept, component ideas and SOA design concept. By using mature J2EE technology from the beginning of making principles of implement, it achieved taken full account of the flexibility, as well as stability and scalability of the system when it is built. There are four parts to build the technical architecture, including data ETL, final batch operation per day, front application system and outward interface. This dissertation describes the analysis and realization of the centralized reconstruction project for the PCRM system dataset by usingJ2EE, SOA and SYBASEon the designing scheme, technical proposal and the general structure. The last part describes implementation of the main system module of data centralized reconstruction, including front subsystem, background subsystem, ETLsubsystem, scheduling subsystem and so on.