Agent based Detecting Abnormal and Dynamic Coupled Behavior in Customer Relationship System use of Combined-Interestingness based Architecture

摘要

Customer Relationship Management (CRM for short) System emerged in the last decade to reveal the central role of the customer for the strategic positioning of a company. One of the most significant changes in the practice of marketing during the last decade is the shift in emphasis from a transaction orientation customer to the CRM. Now a days it is an important edge but now a necessary utensil for endurance. CRM competence is very important source for enterprises to build and sustain competitive advantage. With the extensive applications in CRM enterprises have plenty of customer data. Main vision of CRM is customer understanding, which is accurately done will helps to value customers and thus increases customer life time value. Effectively build CRM will maintain good relationships with customers. Companies have invested or are planning to empower huge amounts to implement CRM strategies, tools and infrastructures in-order to magnetize and retain profitable customers in todays increasingly competitive markets. This paper introduces the detecting abnormal and dynamic coupled behavior in the CRM system and general architecture of CRM based on Domain Driven Data Mining (D3M for short) and with advanced technologies for knowing winning strategies. It also discusses the important steps of designing the data warehouse and describes the meaning of D3M applied to the CRM and finally evolving of D3M to individual service are presented.