This thesis mainly researches on pattern of telecommunication management analysis and decision support in our fix - line telecommunication operation . first the construction of data warehouse is discussed , analyses the data of the base information , billing information and calling detail record of the customer , and then discuss the methods of data mining including defining the operation scope , sampling , data analysis , modeling and implementation we put focal point on the choice and design that the model of data mining , on the basis of the already studies of abroad and the actual needs of fix - line telecommunication company . three data mining models of our fix - line telecommunication operation are putted forward : customer value model , customer retention model , and customer segment model 本文對(duì)于固網(wǎng)通信業(yè)經(jīng)營(yíng)決策支持模式的探討和研究,是從企業(yè)級(jí)數(shù)據(jù)倉(cāng)庫(kù)的構(gòu)建出發(fā),圍繞如何提高企業(yè)客戶細(xì)化和預(yù)測(cè)能力的問(wèn)題,針對(duì)通信企業(yè)積累的大量客戶基本信息、客戶通話信息、客戶帳單信息、客戶繳欠費(fèi)等數(shù)據(jù),在數(shù)據(jù)挖掘方法論的指導(dǎo)下,通過(guò)業(yè)務(wù)問(wèn)題范圍、選取和抽樣、探索型數(shù)據(jù)分析、建模和實(shí)施等步驟進(jìn)行分析,闡述通信企業(yè)以數(shù)據(jù)倉(cāng)庫(kù)為核心的數(shù)據(jù)挖掘模型選擇與設(shè)計(jì)的一般方法,提出我國(guó)固網(wǎng)通信運(yùn)營(yíng)業(yè)的三個(gè)數(shù)據(jù)挖掘應(yīng)用模型:客戶分群,客戶流失和客戶價(jià)值分析。