通信企业CRM中数据挖掘的应用研究

通信企业CRM的构建目标是为了使服务内容、服务方式、服务质量、经营管理以及服务意识不断提升与完善．赢得更多的客户并且提高客户的忠诚度和满意度，挖掘客户潜在价值以及降低销售和管理成本。本文通过通信CRM系统的框架结构、CRM中数据仓库的作用、通信CRM中数据挖掘的具体应用三个方面论述了详细论述了通信企业CRM中数据挖掘的应用。     

数据挖掘在CRM中的运用

CRM（客户关系管理）是一种旨在改善企业与客户之间关系的新型管理系统。其关键点在于如何运用数据挖掘技术建立分析型CRM。本文主要论述了CRM和数据挖掘的概念以及数据挖掘在CRM上运用的一般过程。     

CRM中客户关系分析评价方法研究

过分饱和的、需求驱动的市场使客户成为企业的重要财富,而CRM是改善企业与客户之间关系的新型管理机制。文章论述了CRM的产生与发展、国内外发展现状、市场前景及发展趋势。重点讨论了分析型CRM的有关问题。研究了怎样利用数据挖掘技术的各种方法,在分析型CRM的客户评价系统中进行客户关系指标评价以及市场预测等。     

数据挖掘技术在中小型制造企业CRM中的应用

客户关系管理(CRM)是一种全新的管理理念,是提高企业竞争力的一种手段,而数据挖掘技术为CRM的实施提供了良好的支持。简单介绍了CRM系统的基本理论知识,分析了数据挖掘技术在中小型制造企业CRM系统中的主要应用,详细论述中小型制造企业运用数据挖掘技术,提高企业信息管理水平和企业竞争力,使企业建立以客户为中心的经营模式。结合中小型制造企业的特点,详细分析当前制造企业管理的困境,提出了中小型制造业具体在CRM中实施的步骤和方法。     

数据挖掘技术在中小型制造企业CRM中的应用

客户关系管理（CRM）是一种全新的管理理念，是提高企业竞争力的一种手段，而数据挖掘技术为CRM的实施提供了良好的支持。简单介绍了CRM系统的基本理论知识，分析了数据挖掘技术在中小型制造企业CRM系统中的主要应用，详细论述中小型制造企业运用数据挖掘技术，提高企业信息管理水平和企业竞争力，使企业建立以客户为中心的经营模式。结合中小型制造企业的特点，详细分析当前制造企业管理的困境，提出了中小型制造业具体在CRM中实施的步骤和方法。     

零售业CRM中的数据挖掘技术

从零售业CRM和数据挖掘的概念入手，讨论了零售业CRM中采用的各种数据挖掘技术，如关联分析、分类分析、聚类分析等，分析了数据挖掘技术在市场营销、销售与客户服务三个领域的典型应用。最后对数据挖掘在零售业CRM的作用和发展前景作了总结。     

基于关系图提取算法的烟草销售客户关系管理的应用研究

展望客户关系管理,数据挖掘技术在其中起到了至关重要的作用,它可以挖掘出千万数据中的有用信息,企业才能对客户进行各类价值分类,然后预测客户的行为,从而做出正确有效的决策。在CRM应用中,基于数据挖掘技术的基础上,结合CRM系统的不足,为避免或减少客户管理系统因管理不到位而导致客户的流失,造成企业的损失,提出了客户关系图的提取算法,很好地分析了数据挖掘技术在CRM中的应用。     

数据挖掘在CRM中的应用设计

讨论了在客户关系管理 (CRM)中用于客户细分和建立客户轮廓的数据挖掘技术。首先指出 CRM的概念和分类 ,然后分析了几种数据挖掘方法 ,最后提出面向 CRM的数据挖掘应用设计。     

数据挖掘技术在CRM中的应用

CRM（客户关系管理）是一种旨在改善企业与客户之间关系的新型管理机制。数据挖掘技术应用于CRM中，能够加强和改善客户关系管理，从而为企业带来更多的利润。该文对数据挖掘技术在CRM中的应用内容和过程进行了研究。     

基于数据挖掘技术的CRM应用仿真研究

客户资源现已成为企业最重要的战略资源之一,企业为此也花费大量资金构筑客户关系管理(CRM)系统。该文就关于CRM系统结构和与数据挖掘技术相结合的优势,通过实例论证数据挖掘技术在CRM中的实际运用,可以通过对企业销售数据的关联分析把企业的大量客户分成不同的类型,并发现不同类客户的需求特征,从而提供不同的营销策略和服务,维系老客户,发现新客户,不断提升客户价值,增加客户满意度。     

Web2．0增值业务的客户关系管理研究

企业通过客户关系管理能全面有效地管理客户同企业的关系,建立起长久稳定的关系,从而实现客户与企业双方的最大价值。客户关系管理在很大程度上影响着企业的发展和市场的拓展。现在越来越多的企业研究与应用客户关系管理。随着Weh2．0增值业务的不断发展,传统的客户关系管理已经不能很好地为企业服务。通过与Web1．0下的客户关系管理进行比较,分析总结了传统CRM针对Web2．0所需要进行的调整,并在此基础上对Web2．0的CRM关键技术进行了分析．最后针对Web2．0增值业务的特点,总结得出了Web2．0的CRM系统框架。     

广东电信公话业务中CRM系统的研究与探索

客户关系管理系统(CRM)的计算机应用是指利用计算机信息技术，针对营销、销售、客户服务、客户交互和客户分析等面向客户的业务领域而设计出的各种软件功能模块的组合，来最大限度地支持CRM的经营理念在企业范围内的具体实践。首先对CRM进行了简单的介绍，然后结合公话业务的特点，对公话业务CRM的设计进行了一定的探索，界定了公话业务CRM应用所涉及的领域，设计了基于分析型公话CRM应用系统的系统模型、基本功能模块及其设计平台。     

数据仓库在电信统计分析中的应用

电信建立以客户为中心的服务体系,对于维系老客户、争取新客户、增强市场竞争能力有重要的意义。由于数据仓库能统一数据管理,保证数据准确和可追踪管理,支持内控,构建企业统一的数据管理平台,所以数据仓库越来越多地被应用于以客户为中心的的电信CRM统计分析系统中。以数据仓库在电信CRM中的建设为实例,从总体结构、模型设计、数据的抽取、转换和加载方面进行描述,说明了数据仓库在电信统计分析系统中的应用。     

An Integrated Model for Customer Relationship Management: An Analysis and Empirical Study

Ensuring customer satisfaction and maintaining long‐term relationships with customers have become essential for survival among competitive service industries. The present study addresses this need by proposing a conceptually integrated four‐phase model that incorporates elements of customer relationship management (CRM) and customer satisfaction (represented by the extended American Customer Satisfaction Index model). Then, this study formulates structural equation modeling to test various research hypotheses related to the effect of the CRM initiative. An empirical study of 143 leading Taiwanese service firms distributed among seven service industries was conducted. The implementation levels of various constructs, input (customer knowledge), service provision (customer interactions), output quality, perceived quality, perceived value, perception of customer satisfaction, customer loyalty, purchasing intention, and profits of CRM are assessed in a range of service industries by means of a questionnaire survey and in‐depth interviews. The results of the empirical study reveal statistically significant influences among various constructs of the CRM integrated model. These results also represent a useful reference for managers of service organizations that could be used to improve the profitability and implementation level of CRM. The present study represents an important investigation in the development of an integrated CRM implementation system for service industries. © 2012 Wiley Periodicals, Inc.     

Customer relationship management systems (CRMS) in the healthcare environment: A systematic literature review

Customer relationship management (CRM) is an innovative technology that seeks to improve customer satisfaction, loyalty, and profitability by acquiring, developing, and maintaining effective customer relationships and interactions with stakeholders. Numerous researches on CRM have made significant progress in several areas such as telecommunications, banking, and manufacturing, but research specific to the healthcare environment is very limited. This systematic review aims to categorise, summarise, synthesise, and appraise the research on CRM in the healthcare environment, considering the absence of coherent and comprehensive scholarship of disparate data on CRM. Various databases were used to conduct a comprehensive search of studies that examine CRM in the healthcare environment (including hospitals, clinics, medical centres, and nursing homes). Analysis and evaluation of 19 carefully selected studies revealed three main research categories: (i) social CRM ‘eCRM’; (ii) implementing CRMS; and (iii) adopting CRMS; with positive outcomes for CRM both in terms of patients relationship/communication with hospital, satisfaction, medical treatment/outcomes and empowerment and hospitals medical operation, productivity, cost, performance, efficiency and service quality. This is the first systematic review to comprehensively synthesise and summarise empirical evidence from disparate CRM research data (quantitative, qualitative, and mixed) in the healthcare environment. Our results revealed that substantial gaps exist in the knowledge of using CRM in the healthcare environment. Future research should focus on exploring: (i) other potential factors, such as patient characteristics, culture (of both the patient and hospital), knowledge management, trust, security, and privacy for implementing and adopting CRMS and (ii) other CRM categories, such as mobile CRM (mCRM) and data mining CRM.     

以客户为中心的CRM体系结构

客户关系管理系统（CRM）是提高企业核心竞争力的有力保障。但现有CRM产品存在某些缺陷，如不以客户为核心进行客户服务、客户服务过程自动化缺乏柔性，以及系统各功能模块协同能力较差等。针对上述问题，提高了以业务过程分类为基础的，基于事件驱动、工作流技术和ECA规则实现CRM系统体系结构的方法。该体系结构能够有效地解决目前CRM产品中的上述问题，为改善现有CRM产品的性能和开发性能更优的产品提供了一种新的手段。     

Study of the wireless/wire integration CRM Gateway for the effective application of Event CRM for small and medium sized enterprises

The CRM System, which maximizes business profits by pursuing a continuous relationship with customers, is based on an analytical CRM that sets up a marketing strategy by analyzing customer information. However, thanks to the technological development of the Internet and mobile phones, customer contact is being carried out through a variety of channels. Yet currently, the needs of customers are not being addressed in a timely manner due to a weak system that cannot immediately deal with customer requests and because of which customer information is not administered in a systematic manner.Therefore, rather than focusing on off-line-focused analytical CRM, it is necessary to concentrate on real time CRM that reflects the aspects of the operative or collaborative CRM. This study also develops an Event CRM solution that can bring satisfaction to customers when they want it by systematizing the contact points of customers, which constitute various institutions and channels.The CRM model that this study presents is the support of Event CRM services for all business types against the backdrop of a wireless/wire environment, and the support of small and medium sized companies, which are burdened by information management costs, to meet the demand for CRM.In order to present the wireless/wire integration CRM Gateway Model, the study focuses on insurance CRM services.When a customer event arises through various channels such as the Internet, SFA or CTI, the event data are transferred through a standardized form. Based on these data, the campaign and service is then extracted and analyzed with the Event CRM Gateway Engine. A match is immediately made between the saved rules and the campaign and services that best fit the customer. Finally, the information is provided to the customer via a mobile phone or website.     

Determinant elements of customer relationship management in e-business

This study investigates the composition of customer relationship management (CRM) in e-business by examining the possible elements that determine different aspects of the relationship between customers and e-businesses. A web-based CRM survey of 38 items, constructed from SERVQUAL (service quality instrument), SITEQUAL (website service quality instrument) and literature findings, was completed by 200 customer contact professionals. Results of a factor analysis indicated three main customer relationship attributes of e-business, which are: general CRM (accounting for 51% of the total variance); personalization (accounting for 9% of the total variance); and privacy (accounting for 7% of the total variance). Results of a stepwise regression indicated that these customer relationship attributes significantly predict customer attitude (83% of the explained variance). Within the general CRM dimension, website content organization correlated highly with customer attitude (65% of the explained variance). The results of the study indicate that customers perceive three main dimensions of relationship attributes of e-business (general CRM, personalization and privacy) and that all three significantly contribute to customer attitude. These findings support the importance of including relational-type e-business attributes when investigating interactions between customers and e-business. The study concludes with related implications and design guidelines to enhancing customer perception of e-business.