bi-not the same sense of foot _BI

In this era of network intelligence, if life and intelligence is not up to the top that is too backward. Especially in the IT industry, and not long ago in the Microsoft Office to do the report, these days noisy exchange for BI, then bi is what. What's the use. How to use. Take this series of questions and go to the next research. First, what is.

Through the data, BI is not a new thing, it has gone through decades of development in the Western developed countries, which the development of a lot of the basis from the AI (artificialintelligence), said the AI is more advanced things on the right, just artificial intelligence this noun can faint a person. Ai is actually more in the field of scientific research, and BI with AI technology and development, the information system to promote the intelligent application of the field of industrialization, the rapid creation of a visible touch of value.

In a nutshell, Bi is a process of translating data into valuable knowledge and applying knowledge to business behavior. In this process, BI takes the appropriate tools to help the relevant role in the overall solution to make the best decisions about the content within the scope of the responsibility. The business intelligence technology is not a single technology, but covers the comprehensive application of Data Warehouse, OLAP (On-line Analytical Processing), data mining, report presentation and so on. Second, what to do.

After several years of accumulation, most of the large enterprises and institutions have established a relatively perfect CRM, ERP, OA and other basic information systems. The unified characteristics of these systems are: through the operation of business personnel or users, the final database to add, modify, delete and other operations. The above system can be unified known as OLTP (onlinetransactionprocess, online transaction processing), refers to the system after a period of time, it is necessary to help enterprises collect a large number of historical data. However, in the database dispersed, independent existence of a large number of data for the business people, is only a few can not understand the Bible. What business people need is information, the abstract information that they can understand, understand, and benefit from. At this point, how to transform data into information, so that business people (including managers) can fully grasp, use this information, and assist decision-making, is the main problem of business intelligence.

How do you turn the data that exists in the database into the information that business people need? Most of the answers are the reporting system. Simply put, the reporting system is already called BI, which is the low-end implementation of BI.

Foreign enterprises, most of them have entered the mid-tier bi, called data analysis. Some companies have begun to enter high-end bi, called data mining. But our country's enterprise, most still stays in the report stage. Through the above data can see the strong and irreplaceable role of BI. Third, the structural body

When it comes to structure, presumably there is a flash of the picture in your head, because it helps us to understand and enhance the visual effect, then let's learn about the structure through the diagram.

The above diagram is only the understanding of bi as a whole, from the brain to have a certain memory, so as to better learn each step and its deeper meaning. The next step is to show the whole process through a detailed diagram.

Iv. Advantages and Disadvantages:

Business Intelligence (BI) can collect, observe, and analyze and act on their own business data. Enables all businesses and businesses to be more flexible, efficient, and responsive.          It is now a high point in the development of business intelligence bi. Disadvantages:

1. Domestic is relying on the foreign bi, different ways of thinking, may be in the promotion of problems.

2. Traditional bi firms, though dominant, are congenitally deficient. The traditional BI solution is basically two kinds of ideas one is large data integration machine, the other is a distributed data warehouse. However, large data integration machine's total cost of ownership is high, most enterprises are not able to enjoy, and distributed data Warehouse by flow charges, the use of expensive, 1TB data may need hundreds of thousands of. This large data product dramatically increases the overall cost of ownership (TCO) of BI applications. V. Summary

The above is a simple understanding of BI, BI is simply the analysis of large data from the multidimensional data mining, so as to reflect the value of large data. In the future study will be further follow-up, respectively, SSIS, SSAS, SSRS and so on a brief introduction.