Investigating Customer Lifecycle Extension Using Data Mining

  • سال انتشار: 1398
  • محل انتشار: هشتمین کنفرانس بین المللی فناوری اطلاعات، کامپیوتر و مخابرات
  • کد COI اختصاصی: ITCT08_048
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 522
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نویسندگان

Roya Mahmoudi

Department of Computer and Information Technology Engineering, Sabzevar branch, Islamic Azad University, Sabzevar, Iran.

Mansoreh Zare

Department of Computer and Information Technology Engineering, Sabzevar branch, Islamic Azad University, Sabzevar, Iran

چکیده

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

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