摘要
21世纪是一个数字化的时代,大量信息被采集、记录下来。特别是企业在逐步完善企业信息化后,形成了很多面向事务处理的信息系统。比如,ERP系统、CRM系统、SCM系统等。这些信息系统记录的业务流程数据由于相互隔离,很难为管理层提供数据支持,辅助决策。基于数据仓库技术的商务智能应用打破了这种"信息孤岛"的限制,使得宝贵的历史数据变成了知识的"源泉",为决策层提供了一个方便的数据分析与决策平台。主要从帮助中小企业在有限的条件下实施商务智能的角度,来探讨商务智能系统的功能架构和理论方法。并通过一个零售行业奖金计算分析的案例阐述商务智能实施过程。
The 21st century is a digital age, a large number of information are collected and recorded. In particular, when the enterprises have gradually improved the corporation informatisation, there emerge quite a few transaction processing-oriented information systems. For example, the ERP, the CRM, and the SCM, etc. Since to be mutually isolated, the business process data of these information system records can hardly provide the data support for managerial teams and for assisted decision-making. The business intelligence applications based on data warehouse technology breaks the limitations of ＂information silo＂, which makes the valuable historical data become the ＂source＂ of knowledge, and provides a convenient data analysis and decision-making platform for the board of company. In this paper, with the point of view of helping the SMEs to implement business intelligence under limited conditions, we explore the functional architecture of the business intelligence systems and their theoretical methods. We also use a case of bonus calculation analysis from retail sector to illustrate the implementation process of business intelligence.
出处
《计算机应用与软件》
CSCD
北大核心
2013年第9期250-254,279,共6页
Computer Applications and Software
