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Customer Segmentation
       An Analytical CRM Approach for NT

By:-
Bishal Timilsina
Bishnu Bhattarai
Narayan Pd. Kandel
Niroj Karki
Introduction
    Based on paper “Data mining and CRM in
    telecommunication” by D. Ćamilović

    Objectives:

    – Call pattern analysis


    – Business Process and Strategy in Service Analysis
Scope & Methodology
Scope: NT Prepaid users only
Tools and Techniques
Tools

R

 Python

 MySQL

 Data-mining   libraries
Tools and Techniques
Technique

 Clustering through K-mean Algorithm
 Decision Tree

 Neural Network

 Regression
Expected Result

 Customer    Segmentation

 Analysis   & BI visualization

 Development     of Platform for Strategy
 Formulation
Further Expansion

•   Churn Pattern Analysis

•   Transform system to real time
References
   http://www.slideshare.net/Tommy96/data-mining-and-crm-in-
    telecommunications
   http://www.crmsoftware.asia/crm-telecom.htm




                        Question ?

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Customer segmentation an analytical crm approach to telecommunication

Editor's Notes

  1. CRM cannot be practiced in business without tracking patterns within customer data. Since the goal of data mining is extracting meaningful patterns and relationships from large data sets, data mining can redefine and improve customer relationships. Fortunately, telecommunications companies know more about their customers than anyone else.