Proposed Ranking for Point of Sales Using Data Mining for Telecom Operators

This study helps telecom companies in making decisions that optimize its sales points to reduce costs, also to identify profitable customers and churn ones.This study builds two research models; physical model for continuous mining of database where ever it resides i.e., as we have On Line Analytic Processing (OLAP) we must have On Line Data Mining (OLDM), and logical model using Technology Acceptance Model.Previous Studies showed that using basic information of customers, call details and customer service related data, a model can effectively achieve accurate prediction data.This research gives a new definition and classification for telecommunication services from the data mining point of view.Then this research proposed a formula for total rank a shop and each term of this formula gives a sub rank.The proposed example shows that even a shop with lower numbers of population and visitors, it still has higher rank.This research suggested that telecom operators has to concentrate more on their e-shopping and epayment as it is more cost effective and use data from shops for marketing issues.Some assumptions made in this study need to be validated using surveys, also proposed ranking should be applied on live database.