I am a software developer. The current main experience is architecture and development of commercial information management systems. The earliest BI instance is a chat in 2000 and HP (HP) a dealer manager. At that time, the manager tried to recommend a function of the HP US headquarters sales management system. Of course, China's local dealers can use the system through the network. The system requires dealers to enter the customer's information, contact information, and purchase date after each of the HP printers. Of course, the starting labor is rewarded. After a period of time, the sales system will take the initiative to remind the dealer, you will contact the customer before you purchase, ask if it needs to purchase the corresponding print consumables. When the dealer actively and customer contacts, most customers are very surprised, because they have purchased the print consumables before they are always used, are preparing to buy again. So, the second transaction quickly reached, the dealer expanded sales, and customers were very satisfied with the time-time service of the dealer.
I have participated in the professional training in mathematical modeling during the university. I know that this function has established a predictive model using the knowledge of mathematical statistics, data analysis and other aspects, and then processes the actual business customer data, predicting customer needs. Thereby excavating potential business opportunities. I am very interested in this, I have to pay attention to this information. At that time, there were not many news, and there were not many reports, but I found a common professional term in a few reports. After 2002, foreign reports on BI have more, and there are also professional BI software in this area. Since 2004, the domestic technical information has also been introduced in China, and I have also begun to understand the system, learn this knowledge.
This article makes me understand that the BI knowledge I learned is a summary, the purpose is to concentrate the relevant professional books and technical documents into a holistic puzzle, which is convenient for new people to have a general understanding of BI, I hope to develop in this regard. Friends have helpful. The industry definition and conclusions that have been reached in the text, I will listen out in the final reference to one by one, and I strongly recommend friends who are interested in deep diamonds to read the original.
What is BI? Chinese translation of BI (Business Intelligence) is a business intelligence, there are many definitions of this noun, and the rigorous definition is as follows:
"Business intelligence is the use of modern information technology to collect, manage and analyze structured and unstructured business data and information, create and accumulate business knowledge and insights, improve business decision-making levels, take effective business actions to improve various business processes. to enhance all aspects of business performance, enhance the wisdom and ability to overall competitiveness. "(author: Wang Zhuo)
There is also a relatively concise definition: business intelligence is better than "data refinery", that is, processing data accumulated in business activities into information that can support business decisions.
Source: American Data Warehouse Research Institute (www.dw-institution.com)
How is the BI produced? This needs to be spoken from the traditional business trading system.
In initial introduction of computer-assisted management in business transactions, the developers write a trading system in accordance with the business rules that have been specified in the enterprise. At this time, the business system has the main purpose to allow "business process automation" to shorten business cycles, improve efficiency, enhance the competitiveness of enterprises, and ultimately create greater profits for companies. Nowadays, most large, medium-sized commercial companies have been included in the interior or more computer assisted business management system.
With the popularity of computers in business management, the company's senior management personnel have a more close demand, that is, the departmental framework and business rules of their enterprises have become increasingly refined with social division of labor. Moreover, there is a lot of new business opportunities, and savvy managers, of course, do not want to miss these opportunities that can make the company's upper floor, and the original business management system has gradually become energetic. Therefore, software vendors have launched a series of self-contained systems for new business sectors and business rules, specifically for the management software of a piece of business data management, such as financial management software, customer relationship management software, product data management software, Human resource management software, etc. However, between the management software of these self-contained systems is difficult to share, "information isolation" is formed between the various departments of the enterprise.
Therefore, software vendors have launched a larger block integration enterprise resource planning (ERP) system, integrating the individual management systems previously launched. However, it is a single solution to the management software of each business sector, is it really the overall solution that the company really needs to adapt to business changes?
I think: If you only package the current business activities and business rules, the answer must be NO! This answer has long been determined by the experts. So, how can I really integrate business data between various commercial sectors, and predict business changes, find potential business opportunities, provide data support for business decisions? The answer is BI.
However, Bi's scope is too large. In the actual business, we often need to use some part of them to temporarily meet the needs of enterprises, such as data warehouses, online transaction analysis (OLAP), data mining, decision support systems ( DDS), etc. In fact, the frame structure of the entire BI can be represented by three parts (data pretreatment, data warehouse, data analysis) in the middle of the figure:
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Bi architecture and related technologies (medium)
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Bi architecture and related technology brief (below)
