SQL Server 2008在煤炭企业智能客户关系管理中的应用研究

欧阳浩, 戎陆庆, 黄镇谨, 陈波, 王萌

欧阳浩,戎陆庆,黄镇谨,等.SQL Server 2008在煤炭企业智能客户关系管理中的应用研究[J].工矿自动化,2014, 40(3):98-102.. DOI: 10.13272/j.issn.1671-251x.2014.03.026
引用本文: 欧阳浩,戎陆庆,黄镇谨,等.SQL Server 2008在煤炭企业智能客户关系管理中的应用研究[J].工矿自动化,2014, 40(3):98-102.. DOI: 10.13272/j.issn.1671-251x.2014.03.026
OUYANG Hao, RONG Luqing, HUANG Zhenjin, CHEN Bo, WANG Meng. Research of application of SQL Server 2008 in intelligent customer relationship management system of coal enterprises[J]. Journal of Mine Automation, 2014, 40(3): 98-102. DOI: 10.13272/j.issn.1671-251x.2014.03.026
Citation: OUYANG Hao, RONG Luqing, HUANG Zhenjin, CHEN Bo, WANG Meng. Research of application of SQL Server 2008 in intelligent customer relationship management system of coal enterprises[J]. Journal of Mine Automation, 2014, 40(3): 98-102. DOI: 10.13272/j.issn.1671-251x.2014.03.026

SQL Server 2008在煤炭企业智能客户关系管理中的应用研究

基金项目: 

广西自然科学基金项目(2013GXNSFAA019336, 2013GXNSFBA019280)

广西壮族自治区教育厅项目(201203YB124)

广西壮族自治区教改项目(2013JGA417)

广西科技大学科学基金项目(校科自1261128)

详细信息
  • 中图分类号: TD918

Research of application of SQL Server 2008 in intelligent customer relationship management system of coal enterprises

  • 摘要: 针对煤炭企业客户关系管理系统的信息化、智能化需求,提出了一种基于SQL Server 2008的煤炭企业智能客户关系管理系统的设计方案;给出了智能客户关系管理系统的数据挖掘流程,详细介绍了SQL Server 2008中的商业智能工具在煤炭企业智能客户关系管理系统中的应用,包括煤炭企业智能客户关系管理系统的集群部署结构及其软件架构。实例分析结果验证了该系统的可行性。
    Abstract: In view of requirements of informatization and intelligence of customer relationship management system of coal enterprises, the paper proposed a design scheme of intelligent customer relationship management system of coal enterprises based on SQL Server 2008. It gave data mining flow of the intelligent customer relationship management system, and detailedly introduced application of intelligent business tool of SQL Server 2008 in the intelligent customer relationship management system of coal enterprises, which includes structure of cluster deployment and software framework of the intelligent customer relationship management system of coal enterprises. The example analysis results validate feasibility of the system.
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出版历程
  • 刊出日期:  2014-03-09

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