Investigating Customer Lifecycle Extension Using Data Mining

New technologies are advancing so rapidly that different communities and markets are rapidly seeking ways to help them stay competitive. Customers are the cornerstone of any organization, and one of the new approaches in enterprise architecture that is very important is extending the customer life cycle. The value of customer life can also be defined as the present value of the expected future cash flow from customer relationships as the monetary value of a customer relationship. As the relationship between customers and the organization grows, it will be closer to its economic goals and customer-centric approaches. Data analytics has been put forward to make accurate and smart business decisions in the least possible time. Data analysis has many positive effects on major organizational decisions. This paper examines the role of data mining and its effects on enhancing customer lifespan by analyzing customer data and improving customer experience.

کلیدواژه ها:

Customer Experience ، Life Cycle ، Data Analysis ، Data Mining