Design And Implementation Of Precision Marketing System Of Bank Customer

From the beginning of the 70’s of last century, the global information construction. The application of information system in all corners of the industry. In the long process ofproduction, a large amount of data, the formation of the initialization of data accumulation. At the beginning of this century, great changes have taken place in the world of IT construction,from the information system contains a large number of interface of human-computer interaction, into almost no interface automation of data mining and service publishing system,a typical model for Web2.0, cloud services, data mining etc. This thesis discusses the bank data intensive industry uses a new automated data mining technology, the historical data bankanalysis processing system, precise marketing data realization.From the traditional bank lending to the main profit pattern of the deposit interest ratedifferential transformation, to intermediate business income will also pay more attention to the customer; customer by Large Firm, gradually transformed into more important customers of small and medium-sized enterprises and retail customers. In this case, the traditional way ofextensive sales, in the face of large groups of customers and complex product sales when itbecomes insufficient.The core work in this thesis includes the design and implementation of the two part. The design part, the first banking business development at home and abroad to discuss andanalysis, found that the business model has been a great change. Through in-depth analysis of business model change, found in the current business mode, need more accuratemarketing. Through the investigation of bank sales, to determine the precise marketingrequirements, including: data cleaning, customer integration, customer rating, customer lifecycle management, customer data precision marketing language. At the same time the status of bank information construction research and analysis, to design a data extraction, transformation and loading(Extraction-Transformation-Loading, ETL) as the main technical architecture, data mining technology system as a means of. According to the business requirements, design a clustering analysis method, data processing.In determining the technical architecture, in part. Firstly, the specific design process and datamodel of ETL processing; develop ETL layered structure, loosely coupled to the system. TheETL process using KETTEL tools, to complete the identification of the bank, a huge customer base positioning, segmentation; and on this basis, the use of cross marketing analysis, marketing business cycle analysis of the two methods to achieve customer accurate marketingprediction. In the analysis of customer accurate marketing data, again the data will be pushed to the web page into the business pool by ETL. In the business opportunities in the pool, the client manager business claim, implementation of precision marketing. Complete theimplementation of precision marketing system. Finally, the thesis will summarize. The precise marketing data mining can greatly improve the efficiency of marketing based on theconclusion of bank. The bank for this kind of data enrichment industry, effective data miningnot only improve efficiency of bank marketing, also widely used, so we should strengthen the data enrichment industry data mining, through the analysis of the data to create value.