Akademik Veri Yönetim Sistemi
3rd International Conference on Data, Electronics and Computing, ICDEC 2024, Kayseri, Türkiye, 18 - 20 Eylül 2024, cilt.1455 LNNS, ss.353-370, (Tam Metin Bildiri)
Businesses have had to make their business processes data-oriented and differentiate from other businesses in order to carry out their activities and sustain their existence in the information age we live in. Individuality comes to the fore in today's customers and customers prefer businesses that create value and difference for them. Businesses have developed strategies that focus on relationships with customers in order to stand out and differentiate among all other businesses, which are numerous. With the development of customer-oriented strategies, customer relationship management (CRM) has emerged. CRM is a management strategy that aims to improve the relationships that businesses establish with their customers, identify and offer appropriate products or services to customers in order to increase customer satisfaction and loyalty, and thus increase business performance and profitability. Data mining is the extraction of useful information from large amounts of data sets. Data mining applications improve the activities of businesses within the scope of customer relationship management. In this study, the concepts of customer relationship management and data mining and the relationship between them are examined, data mining applications in customer relationship management are compiled under different headings by including some literature studies, and finally the interaction of data mining supported customer relationship management with different information systems in enterprises is evaluated.