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数据仓库和数据挖掘在ERP中的应用研究.doc

发布:2018-01-05约1.82万字共38页下载文档
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摘要 ERP是计算机技术与企业管理技术结合的杰作。近年来,越来越多的企业采用ERPERP系统事务数据和其它外部数据集成转化为信息企业大限度地利用现有资源,实现企业经济效益最大化。本文本课题的意义的关键问题关键词: Abstract ERP is a masterpiece which combines computer technology with enterprise management technologies. In recent years, more and more enterprise adopt ERP. It produces a large amount of data in the process of using ERP. How to utilize the data and the full exploitation of the hidden useful information has become a widespread concern. In view of the data mining is proficient in mining useful information from large data warehouse, therefore, data warehouse and data mining technology is the best choice for the ERP to process the information and data. The combination of the three can spur ERP system affairs data and other external data to be integrated into information and accelerate the effective information extraction, make the enterprise better manage, get more information and utilize existing resources maximally so as to realize the ultimate goal of achieving maximum economic benefits. Summary, how the data warehouse technology and data mining technology as a technical support can be better applied to ERP is a valuable research subject. This paper expounds the background of the application of data warehouse and data mining in ERP , the value and significance of studying the topic .It discusses the concept and basic methods of constructing the data warehouse and data mining, the mainstream technology and current situation in ERP application of the data warehouse and data mining and key problems of data warehouse and the specific use method of the data mining . It explains the feasibility and inevitability of the data warehouse and data mining in ERP application, analyzes the deficiency of the current data warehouse and data mining in ERP application and Prospects for its future development. Key Words:Data warehouse;Data mining; Enterprise resource planning 目录 1章 绪论 1 1.1 研究背景及其意义 1 1.1.1 研究背景及问题的提出 1 1.1.2 研究价值与意义 1 1.2 国内外研究现状 2 1.3 研究方法和思路 2 第2章 数据仓库和数据挖掘
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