A Comprehensive Study of CRM through Data Mining Techniques
نویسندگان
چکیده
In today’s competitive scenario in corporate world, “Customer Retention” strategy in Customer Relationship Management (CRM) is an increasingly pressed issue. Data mining techniques play a vital role in better CRM. This paper attempts to bring a new perspective by focusing the issue of data mining applications, opportunities and challenges in CRM. It covers the topic such as customer retention, customer services, risk assessment, fraud detection and some of the data mining tools which are widely used in CRM. Thursday, September 08, 2011 3
منابع مشابه
Classification and Prediction in CRM Using Back Propagation Multilayer Feedforward Neural Network Approach
CRM “is a business strategy that aims to understand, anticipate and manage the needs of an organisation’s current and potential customers”. Customer Relationship Management provides a customer classification and prediction which is used for the optimization of business process. customers”. It is a “comprehensive approach which provides seamless integration of every area of business that touches...
متن کاملApplication of data mining techniques in customer relationship management: A literature review and classification
Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it. This is the first identifiable academic literature review of the application of data mining techniques to CRM. It provides an academic database of literature between the period of 2000–2006 covering 24 journals and p...
متن کاملUsing Data Mining Techniques to Increase Efficiency of Customer Relationship Management Process
Recently the Customer Relationship Management (CRM) has been achieved an increasing popularity in business management. CRM includes all the steps which an organization employs to create and establish beneficial relationships with the customers. Using technologies such as data warehousing and data mining CRM can be introduced as a new area where companies can gain the competitive advantage. Via ...
متن کاملA Case Study of Customer Relationship Management using Data Mining Techniques
Data mining has various applications for customer relationship management. In this proposal, we are introducing a framework for identifying appropriate data mining techniques for various CRM activities. This Research attempts to integrate the data mining and CRM models and to propose a new model of Data mining for CRM. The new model specifies which types of data mining processes are suitable fo...
متن کاملAn Assessment of Data Mining Based CRM Techniques for Enhancing Profitability
Customer Relationship Management (CRM) system is used to manage company relations with the existing and prospect customers. Data mining is used in organization for decision making and forecasting of prospective customers. We have studied recent literature related to use of data mining techniques for CRM. Based on review of the contemporary literature, we analyzed different data mining technique...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1205.1126 شماره
صفحات -
تاریخ انتشار 2011