A study of Data Mining concepts used in Customer Relationship Management (CRM) with application in Themed Wedding ManagementJournal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 10)
Publication Date: 2016-01-01
Authors : Karuna Subhash Kak;
Page : 521-524
Keywords : CRM; Wedding Management; Data Mining; Case study; RMF;
Customer relationship management (CRM) has evolved as an approach based on generating positive relationships with customers, increasing customer loyalty, and expanding customer lifetime value . To understand the needs of customers and providing value-added services are recognized as factors that regulate the success or failure of the organizations. In the recent years, technology enhancement made customer relationship easier in various fields such as marketing, sales, service and Management Information Technology . To deliver customer value, there are concepts such as data mining and data warehousing with the use of technology. Even through data mining concepts, organizations can easily find out their valuable customers and helps in making better decisions. There are data mining tools which answer business questions that were time-consuming consuming in the past. These tools simplify these questions and make customer relationship management effective . This researcher work is focused on understanding the consumerÃ¢â?¬â?¢s behavior for themed weddings. The themed weddings management strategies are based on technology, business and customer perspectives. The customer preferences are measured using Regency, Frequency and Monetary (RFM) method. Business strategies are defined to understand the customer preference towards themed weddings management and the technologies such as WEB 2.0 and data mining tool Weka are used. The survey technique, and thematic content analysis using data mining tools, to accomplish the goals of todayÃ¢â?¬â?¢s customer relationship management philosophy for themed weddings management.
Other Latest Articles
Last modified: 2016-01-08 15:01:54