بررسی کاربردهای داده‌کاوی در مدیریت مشتریان شرکت‌های هواپیمایی

Data mining is one of the useful techniques for customer relationship management which detect customer behavior pattern from a huge volumes of data. This patterns can be helpful for decision making in areas such as aircraft industry. Applying data mining techniques on data from an airline company, existing patterns of customers can be detected and finally purposive actions for improving airline services can be taken. In this case customer churn will be reduced and customer satisfaction and loyalty will be increased along with customer retention which all lead to profit raise in long term. The main objective of this paper is to introduce data mining techniques for managing customers of airline companies which emphasize on DRSA approach in service and cost management. The result of this research can help airline companies to identify worthy customers and forecasting their future behavior which lead to better decision making.