Case study: How to make telecom pricing strategy using data warehouse approach

被引:0
|
作者
Shin, SJ [1 ]
Park, G [1 ]
Lee, W [1 ]
Lee, S [1 ]
机构
[1] Korea Telecom, R&D Grp, Econ Res Lab, Tech Res Staff,Call Data Anal Team,Seocho Gu, Seoul 137792, South Korea
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
SIMS (Strategic Information Management System) is a large scale DSS for telecommunications industry. Its goal is developing pricing strategy. SIMS is developed based upon the huge volume of CDR (Call Data Record). Its two main functions are CBA (Call Behavior Analysis) and DB simulation. Once decision-makers fully analyze the call behavior pattern, they can make any assumption for their pricing strategy, and then they can make simulation for their own scenario. After several simulations, they can find which is the optimal solution under their environments. It is very important to know telephone customers' behaviors because telecommunications market moves quickly to high competitive one. Telephone customers have an influence on the market. So, we need the customer oriented pricing strategy because the market itself turned into customer oriented one. To get the customer oriented strategy, we have to analyze thoroughly customers' call behavior pattern. SIMS is the strong tool to get the customers' call behavior pattern and to conduct simulation based on this knowledge.
引用
收藏
页码:55 / 60
页数:6
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