Customer Relationship With Visualization Method

Customer relation model is usually the core and foundation of all kinds of customer relationship management(CRM) system that other customer information and business information is loaded and presented based on it.Therefore, it is of vital importance on how to looking for, expressing as well as presenting the customer relationship, which is normally the main technical problem of CRM system to be firstly considered and solved. Customer relationship and its visualization technology are the popular research topics in recent years, and are widely applied. This study discusses the application of customer relationship visualization technology on telecom customers. A set of practical methods to generate, optimize, and present the customer relationship used in this study has certain reference value in the construction of all kinds of customer management system. In the practical application system, this method can be adjusted and used flexibly according to the specific circumstances of the business. With the discovery and generation customer relationship network,combining with the existing business information, applying the existing mature internet push technology, the valuable resource of marketing information in the way of sharing and spreading the index has been expanded to the potential customers interface, so as to achieve the maximization of enterprise value at the lowest cost.Taking “the telecommunication customer support system” in the telecom enterprise as an example, the paper proposes a whole set of method with the model of customer relationship data generated from the telecom customer’s behavioral data, applying the visualization technology to achieve the customer relationship to solve the main technical problems encountered in the construction of system framework prototype. The paper focuses on two visualization algorithms: the first one is evaluation algorithm on topological graph, which mainly aims at how to quantify the evaluation of the quality level on the topological graph of customer relationship, and proposes a method to obtain the assessment of the topological graph by means of counting the number of outliers in topological graphs, and thus, the automatic quantitative evaluation of the topological graph is realized. Through the actual test and verification, the evaluation algorithm on topological graphs can accurately identify the number of five kinds of abnormal points in the topology graph with good performance of the algorithm, effectively solves the problem of quantitative evaluation for topological graph with excellent expanded value. The second one is acceleratedconvergence-based spring optimization algorithm(i.e. Spring Algorithm),making some improvement mainly for the poor convergence of the spring algorithm to realize the accelerating convergence of the topological graph and the automatic optimization of topological graph of customer relationship through the mechanical motion of the real simulation node. After verification, the Spring Algorithm can be applied to accelerate the convergence and process, to optimize many kinds of structural topological graph to achieve the optimization of customer relationship graph, and to meet the application requirement.In this study, the above methods and techniques are applied to build a practical framework of telecom customer support system. After the actual testing and verification, the structure of the topological graph is clearly presented, the business information is loaded accurately, and the problem of discovery,optimization and display of customer relationship is solved. The overall performance of the system has reached the application requirement, which shows great application prospect and value.