The Experts below are selected from a list of 55044 Experts worldwide ranked by ideXlab platform
Rafi Ahmad Khan - One of the best experts on this subject based on the ideXlab platform.
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Data Mining: A Tool for customer relationship management
Data mining and knowledge engineering, 2016Co-Authors: Rafi Ahmad KhanAbstract:Revolution of information technology in general and the World Wide Web in particular has created opportunity of building better relationships with customers. Until recently, simplifying the management and organization of customer information was main focus of customer relationship management software’s. Such software, called customer relationship management, mainly focused on creating a database of customer’s vital information. However, the sheer volumes of this customer information created need for organizations to look for methods and techniques to automatically and intelligently gain insight into customers and their needs through data analysis. Data Mining is popular means of analyzing large volumes of data in order to extract the valuable information/knowledge hidden in this data. There is an emerging trend of using data mining tools for customer relationship management by the organizations in order to analyze and understand buying behavior of customers and their characteristics, so as to retain existing customers, acquire new potential customers and maximize their value. This paper presents concepts of customer relationship management and Data Mining, framework of customer relationship management and Data Mining, application of various data mining techniques in customer relationship management.
Lai Xiang-yu - One of the best experts on this subject based on the ideXlab platform.
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customer LIFE CYCLE ORIENTED customer relationship management MODEL
Information & Computation, 2003Co-Authors: Lai Xiang-yuAbstract:customer relationship management system (CRM) is a kind of important tool for improving the enterprise's competition capability. It needs system model to instruct the establishment and operation of customer relationship management system. This paper puts forward a kind of idea to model a multi-view model on the basis of customer life cycle value, studies the component modules for each view of customer relationship management system, and their interrelation. At last, a further research thought is presented.
David C. Yen - One of the best experts on this subject based on the ideXlab platform.
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Data mining techniques for customer relationship management
Technology in Society, 2002Co-Authors: Chris Rygielski, Jyun-cheng Wang, David C. YenAbstract:Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms can gain a competitive advantage. Particularly through data mining—the extraction of hidden predictive information from large databases—organizations can identify valuable customers, predict future behaviors, and enable firms to make proactive, knowledge-driven decisions. The automated, future-oriented analyses made possible by data mining move beyond the analyses of past events typically provided by history-oriented tools such as decision support systems. Data mining tools answer business questions that in the past were too time-consuming to pursue. Yet, it is the answers to these questions make customer relationship management possible. Various techniques exist among data mining software, each with their own advantages and challenges for different types of applications. A particular dichotomy exists between neural networks and chi-square automated interaction detection (CHAID). While differing approaches abound in the realm of data mining, the use of some type of data mining is necessary to accomplish the goals of today’s customer relationship management philosophy.
Süleyman Çelik - One of the best experts on this subject based on the ideXlab platform.
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Mobile customer relationship management: An Overview
Mobile Platforms Design and Apps for Social Commerce, 2017Co-Authors: Tolga Dursun, Süleyman ÇelikAbstract:Electronic platforms provide many advantages both customers and companies due to development of communication technology. Today almost every people have smartphones and tablets. Thus mobile customer relationship management became an significant concept for generating long-term relationships and increasing customer satisfaction, retention and loyalty. In addition companies use mobile CRM to facilitate salespeople for better performance in marketing activities. M-CRM offers interactive relationships between firms and companies. In this study, we define what is customer relationship management and origins of CRM. After that we stated electronic customer relationship management concept and finally we mentioned about mobile CRM especially benefits and characteristics of it.
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Mobile customer relationship management
Digital Marketing and Consumer Engagement, 1Co-Authors: Tolga Dursun, Süleyman ÇelikAbstract:Electronic platforms provide many advantages both customers and companies due to development of communication technology. Today almost every people have smartphones and tablets. Thus mobile customer relationship management became an significant concept for generating long-term relationships and increasing customer satisfaction, retention and loyalty. In addition companies use mobile CRM to facilitate salespeople for better performance in marketing activities. M-CRM offers interactive relationships between firms and companies. In this study, we define what is customer relationship management and origins of CRM. After that we stated electronic customer relationship management concept and finally we mentioned about mobile CRM especially benefits and characteristics of it.
Ramkesh Sharma - One of the best experts on this subject based on the ideXlab platform.
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customer relationship management CRM and Performance
International Journal of Research, 2014Co-Authors: Tushar Jain, Shubham Chauhan, Ramkesh SharmaAbstract:In this paper, we examine the impact of customer relationship management CRM on firm performance using a hierarchical construct model.
