Customer Relationship Management Association Establishing A Customer Relationship Management Association That Will Act As A Roof With Big Data

Abstract

The purpose of this study is to work efficiently with the customer relations management "Big Data" of corporations on a global scale. We asked 15 companies about 15 questions about customer relationship management. As a result of 10 article reviews, we examined customer relationship management data. Descriptive research design was used in the research with a quantitative research approach. The collected data were analyzed with inferential statistics using linear regression as descriptive statistics. When the researches on "customer relationship management" are examined, the complaints of the customers and the problems of customer loss are discussed. There are suggestions for the problems examined. However, this study describes a model that will support these recommendations and take them forward. From the research conducted so far, it is understood that there are difficulties in the use of technology. The association, which is planned as the Customer Relationship Management Association, will serve as a framework for the customer relations units of institutions using "Big Data". Customer acquisition and development is targeted by combining organizations with technology and manpower in customer relationship management.