商业智能之思考（Thinking about business intelligence）.docVIP

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商业智能之思考（Thinking about business intelligence）.doc

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商业智能之思考（Thinking about business intelligence）

商业智能之思考（Thinking about business intelligence） China finance computer 2005 eighth issue Liu Shiping / text I. overview of business intelligence Business Intelligence (Business Intelligence) for IT and business leaders in the field of technology and business personnel, the use of all people can describe the description may be exaggerated, but I believe most people have a certain understanding of this. In fact, many people have studied the business intelligence deeply, and have made some achievements. However, at present, the successful application of this technology in China is rare. What are the reasons for this? About 7-8 years ago, China introduced the concept of business intelligence. However, many people still do not understand the concept until now. People often mix business intelligence with data mining, data warehouse and so on. Some people mix it with multidimensional analysis. What is the real meaning of business intelligence? The focus of the problem is that Business and Intelligences translation and understanding. These two words have multiple interpretations, Business can be translated into commercial, business, business affairs, etc.; Intelligence can be translated as intelligence, understanding, wisdom, intelligence etc.. After the combination of two words, translation, business intelligence or business intelligence, and even business intelligence, and so on, are correct. The question is how to define business intelligence or business intelligence. More reasonable definition should be: how to through technical means to effectively integrate the scattered in different system data, to obtain useful information from the data, then the information into knowledge, for business decisions. This process consists of four key points: data, information, knowledge, and decision making. Around these key points, from the implementation of technology, the most directly related technologies are data warehouse technology and data mining technology. Data warehouse contai