Data Mining in Customer Relationship Management in companies

More and more practice proves that focusing on customer needs is the key to business success.So studying on customer relationship management is very important for its implementation in enterprises.In recent years,data mining in customer relationship management(CRM) application has always been one of the hot spots.This paper shows the relevant methods of data mining application in CRM taking Telecom as an example.

Knowledge Management and Customer Relationship Management for Accounting Services Companies

By combining the abilities to respond directly to customer requests and to provide the customer with a highly interactive, customized experience, companies have a greater ability today to establish nurture and sustain long-term customer relationships than ever before. The ultimate goal is to transform these relationships into greater profitability by increasing repeat purchase rates and reducing customer acquisition costs. Customer relationship management （CRM） has a significant potential to leverage an organization＇s performance, but it does not come without a clear sense of destination and typically without pain. For the research methodology we use the database of customers of a Romanian accounting services company Vulpoi ＆ Toader Management SRL, which is an important player in this market. The goal of our paper is to find out the link between knowledge management （KM） and CRM for this company and how these ＂innovations＂ contribute to increasing the value of the business.

Customer Relationship Management to Customer Value&Customer Loyalty of Fixed Broadband:Study Case on Fixed Broadband Company in Indonesia

The increase of fixed broadband penetration can increase a country’s economic growth.Indonesian fixed broadband usage density still lags far behind other countries.This condition becomes a great opportunity for operators in marketing fixed broadband products.The different offers and services of each fixed broadband operator in Indonesia will have an impact on the ease of acquiring and maintaining customer loyalty levels.The unstable number of subscribers(unsubscribing/switch to other operator)is increasing year by year.This condition can be caused by customer value perceived by the customer that is inferior because the management of customer relationship management is less good.The method used is descriptive and explanatory.The unit of analysis is the last customer of four broadband operators in Indonesia.Time horizon is cross-sectional,where the research is conducted simultaneously.The survey data are collected from questionnaires to fixed broadband subscribers and through focus group discussions and interviews with managers related to the object study.Data are analyzed descriptively and quantitatively and this research uses quantitative research design using Structural Equation Modeling(SEM).The findings show that the effect of customer relationship management on customer loyalty through customer value is significant.

Study of Customer Relationship Asset Management from the People-oriented Perspective

With the advent of the knowledge economy and information age in the 21st century,the relationship between managers,the managed personnel,and customers has undergone tremendous changes.In order to meet the needs of the development of the times,the business management has gradually turned to the study of people,and humanistic management has become one of the important factors influencing the sustainable development of enterprises.This paper came up with people-oriented management approaches and countermeasures for enterprises from corporate culture,customer satisfaction and loyalty,balance sheet management,customer database establishment,and improvement of the rate of return of customer relationship assets.

Digital Marketing Strategies for Effective Customer Relationship Management

Digital marketing is growing at a rapid rate.Nearly one in 10 Internet visits ends up at a social network;nearly one in four page views is on a social networking site,thus,making social networking a lucrative option for brand managers to market their brand and to create a brand identity.It is felt that people’s brand choices used to be heavily influenced by advertising.Today,this pattern is changing.Persons with access to computers,iPads,or smart phones now take time to reach the brands in a category,such as cars or TV,before making their final choice.Younger persons find it very easy to look up information about products on the Internet,ask their Facebook friends,attend to bloggers,and watch YouTube.Under this backdrop,this paper will address the various digital marketing strategies for effective customer relationship management.

Value judgment and reflection on the customer relationship management in domestic tourism projects

From the concept of the customer relationship, this article analyzes the current difticulties, and puts forward the value judg- ment and the optimal path of the customer relationship management in the domestic tourism projects. In order to make the discussion more concrete, this paper will take the ＂rural tourism projects in Phoenix City＂ as the object of study. Through the heterogeneity and coordina- tion, establish the value judgment, and the optimization measures under the reflection on the current situation can be constructed from four aspects.

Management of Address Information to Improve Quality of Customer Contact

Customer relationship management systems are gaining importance in today's business environment since customer satisfaction is crucial to the success of an enterprise, and especially so in e-business environment where customers can find substitute suppliers quite easily. In CRM, the quality of customer information is very important, and the address information even more so. It is because the address information plays a major role for customer contact channel and for timely and effective marketing service. Furthermore, it gives the basic source of geographic information for the offline delivery, the terminal activity of the e-commerce. In this study, we analyze various standards and proposals for the address information, and propose data models for the management of the information focusing on address components, and proto-type systems for management and service.

Research of CRM Based on Customer Intelligence Engine

The discipline of business intelligence addresses a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting, and customer intelligence is the actionable output from an intelligence eco-system. In order to focus enterprise's attention on their customers satisfaction in the customer relationship management and make CRM system run more efficiently, a new concept of customer intelligence engine(CIE) is proposed at first time in the paper, the architecture of CIE is structured, the trigger of CIE is defined and described, the CIE-based CRM eco-system is also discussed.

Mining Profitability of Telecommunication Customers Using K-Means Clustering

Data mining is the powerful technique, which can be widely used for discovering the customers’ behaviors as well as customer’s preferences. As a result, it has been widely used in top level companies for evaluating their Customer Relationship Management (CRM) system today. In this study, a new K-means clustering method proposed to evaluate the cluster customers’ profitability in telecommunication industry in Sri Lanka. Furthermore, RFM model mainly used as an input variable for K-means clustering and distortion curve used to identify optimal number of initial clusters. Based on the results, telecommunication customers’ profitability in Sri Lanka mainly categorized into three levels.

后疫情时代基于BOPPPS模型的客户关系管理课程“线上+线下”教学模式探索与实践

后疫情时代客户关系管理课程的教学将由原来的线下教学单一模式转变为“线上+线下”一体化模式,该文基于BOPPPS模型利用雨课堂和微信教学群等工具,探索了以“学生为中心”的客户关系管理课程“线上+线下”教学模式,并应用于实际课堂。首先,在课前准备的线上阶段采用引入(Bridge-in)、目标(Objective)、前测(Pre-assessment);其次,在课中授课采用参与式学习(Participatory learning);最后,通过后测(Post-assessment)和小结(Summary)环节进行课后测评。结果表明,该模式不仅加深学生对客户关系管理的理解,激发学生的学习兴趣,而且提高学生提出问题、分析问题、解决问题的能力,帮助学生培养良好的学习习惯。

客户关系管理(CRM)的评述与展望

近年来 ,有关客户关系管理 (CRM)的研究受到了学术界与和企业界愈来愈多的关注 ,其理论与应用的研究已获得一些成果。在简要介绍 CRM发展历程之后 ,本文尝试从人文管理与信息技术两个不同角度对目前 CRM研究领域的部分工作做一简单的回顾与评述 ,同时指出应该侧重于人文管理和系统的思考 ,以利于进一步的研究工作的开展。

分析型CRM的软件体系结构

随着客户关系管理概念的普及推广,各厂家的CRM产品及人们对CRM的讨论层出不穷,由于这些讨论大多集中在CRM的功能、效益及发展前景等方面,因而对CRM本身的软件体系结构却未能形成统一的标准。该文针对CRM系统中重要的支撑部分-分析型CRM,依据层次化体系结构和中间件的思想,提出一种分析型CRM的分层软件体系结构。

数据挖掘在客户关系管理(CRM)中的应用

CRM现在逐渐成为企业的焦点 ,也成为计算机领域一个活跃的研究领域。介绍了有关CRM和数据挖掘的一些基本概念 ,以及数据挖掘应用于CRM所带来的好处 ;最后指出了如何在CRM中实施数据挖掘应用。

数据挖掘技术在CRM中的应用

客户关系管理(CRM)是数据挖掘技术的重要应用领域,也正是因为具有数据挖掘技术的支持才使CRM具有越来越广泛的市场价值和研究价值。本篇论文综述了面向CRM的数据挖掘应用的总体研究情况。包括面向CRM数据挖掘的体系结构;从客户生命周期的角度和行业应用角度分析了CRM中数据挖掘的应用状况;最后结合当前数据挖掘技术的发展指出了CRM中数据挖掘应用的进一步发展趋势以及我国在该领域的研究方向。

电信CRM技术发展研究

随着电信市场竞争的加剧,电信行业中客户关系管理(CRM)系统以其自身的优势成为电信企业提高服务质量、降低客户流失率、增强企业竞争力的关键。针对CRM理论与联机分析处理技术、数据挖掘技术、复杂网络理论及其技术的结合进行综述,给出相关算法的步骤、评价及改进方案,讨论电信CRM的研究发展方向。

基于平衡计分卡的CRM有效性评价模型研究

客户关系管理(CRM)是二十一世纪的主导战略之一。由于CRM的复杂性,目前对CRM有效性评价的研究还很少。考虑到平衡计分卡(BSC)的优点,本文建立了一个基于BSC的CRM有效性评价模型,该模型包含四个视角:客户知识、客户交互、客户价值、客户感知价值。通过对四个视角的作用分析,构造了四个视角的评价矩阵,并通过一个案例研究验证了该模型的可行性和有效性。

基于客户关系生命周期的CRM理念

在竞争激烈的市场中,企业在不断寻求获得新客户、保持现有客户和争取流失客户的新途径以获得和保持竞争优势。客户关系管理正是企业实现上述目标的有效手段。如今有很多人在讨论客户关系管理,但是大家对CRM这一时髦用语的理解并不一致。IT服务供应商将CRM视为特殊的软件解决方案或新的分析方法,强调销售自动化、计算机辅助销售、数据仓库、数据挖掘、呼叫中心的一体化等。而市场营销理论工作者和管理人员则认为CRM是客户导向和营销基本理念的回归,他们注重需求导向的客户细分、一对一营销、客户终身价值、客户维系和客户关怀等。而本文作者是从客户关系生命周期这一新角度去理解CRM。本文首先提出了客户关系生命周期的模型及其各阶段的特点,简要地介绍了CRM,然后对客户关系生命周期不同阶段的CRM对策和CRM措施的重点进行了深入的探讨。

跨境电商背景下跨境物流服务质量对客户关系管理模式的影响因素研究

跨境电商环境下的物流服务质量目前存在四方面问题:一是高昂的物流运输成本;二是漫长的物流运输时间;三是退换货服务难兑现;四是政治、文化、海关的风险。这四个方面问题的出现,会导致跨境物流服务质量的下降,造成客户期望值与现实服务质量之间的差距,因此,物流服务质量成为影响跨境电商B2B企业客户经营决策的主要因素。文中用结构方程模型探究跨境电商物流服务质量中6个维度对B2B企业客户关系管理模式的影响,发展了适合用于度量跨境电商环境下跨境物流服务质量水平的量表;同时也明确了跨境电商环境下跨境物流服务质量与客户关系管理模式的作用机理。