Survey of Data Mining Tools and Techniques for Customer Relationship Management (CRM)
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
The domain of Customer Relationship Management (CRM) has been gaining significance in various business management processes. CRM includes all the series of action that an organization uses to create and establish good relationships with the customers. Deploying technologies and tools of data mining in CRM can introduce a new area where companies can obtain competitive advantage. Using CRM, a company can make its process to launch better services at a minimized price. By the use of data mining tools & techniques, companies can obtain invisible data of customers from relatively huge databases. Hence, corporations can determine the worth of customers and estimate their future actions and needs. Data mining tools can provide solutions to business problems which were complex to trail down before. So, it is feasible to improve CRM effectiveness and have productive and quick answers to customer needs, by combining CRM and data mining techniques. In this study I explore some major concepts of CRM and data mining. Also I present an idea to employ data mining techniques in CRM. This analysis shows by that applying data mining tools & techniques in CRM that could improve CRM's effectiveness and give us a better forecasting ability to companies and industries to obtain a financial advantage.
Authors and Affiliations
Rohit Yadav, Dr. Jyoti Kharade
Keywords
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