| Summary: | 碩士 === 中原大學 === 資訊管理研究所 === 91 === People deal with tremendous amount of information in their daily lives due to the revolutionary coming of the Internet. Therefore, how to make decisions efficiently and effectively by using the information gathered turns to an important issue. Business intelligence (BI) comes to live because that collecting information quickly, filtering irrelevant information, improving the process of acquiring and analyzing information and making decisions effectively have become the crucial keys to success for enterprises in the information age.
There is no doubt about the importance of business intelligence, but there are various theories about the meaning of business intelligence and the configuration and components of business intelligence systems. Among these theories, some may have different perceptions, and some even think that to build a data warehouse is to Implement a business intelligence system. The major objective of this study is to clarify the definition of business intelligence and business intelligence systems. Furthermore, many enterprises are facing impact and challenges in the age of electronic commerce and the concepts of business intelligence happened to introduce a new wave of revolution. Since business intelligence is such a popular topic, how enterprises can benefit from business intelligence and how enterprises should apply business intelligence according to their characteristics are other objectives of this study. By reviewing papers on this subject, this study looks into the definition of business intelligence and business intelligence systems in addition to identifying the components of business intelligence systems. Moreover, this study proposes a framework for business intelligence systems and applies this framework (including business intelligence systems components) to construct the research environment. Finally, this study chooses a certain motorcycles manufacturer to apply the framework proposed and finds out how well the framework fit in a real life case.
The model this study provides is not only a useful sample for companies to apply business intelligence systems and to combine with legacy data base systems, but also a reference for enterprises to be more effective in decision-making process.
Keywords: business intelligence systems, system Implement, data mining, OLAP, CRM
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