bi-not the same feeling feet

In this age of network intelligence, if life and intelligence hang not above that is too backward! Especially in the IT industry, but also in Microsoft's office to make a report, these days of noisy change into bi, then bi What is it? What's the use? How to use it? And so on, take this series of questions and get to the next step!

first, what is it?

by looking at the data,BI is not a new thing, it has been in the Western developed countries have experienced decades of development, the development of which is based on a lot of AI (artificialintelligence), Say 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 the help of AI technology and development, the intelligence of information systems to extend to the field of application, the industrialization of investment, and quickly create a visible and tangible value.

Broadly speaking, BI is a process of translating data into valuable knowledge and applying knowledge to business practices. BI takes the appropriate tools in this process to help the relevant roles to make the overall solution to the best decisions about the content within the scope of responsibility. Business intelligence technology is not a single technology, but covers the Data Warehouse, OLAP (on-Line Analytical Processing), data mining, report presentation and other technologies integrated application.

second, what to do?

After several years of accumulation, most of the large-scale 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 the business personnel or users, the final database is added, modified, deleted and other operations. The above system can be unified called OLTP (onlinetransactionprocess, online transaction processing), refers to the system has been running for a period of time, it is necessary to help enterprises collect a large number of historical data. However, the large amount of data that is scattered and isolated in the database is a heavenly book for business people who cannot read. What business people need is information, abstract information that they can understand, understand, and benefit from. At this time, 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 data that exists in a database into information that a business person needs? Most of the answers are reporting systems. Simply put, the reporting system can already be called BI, which is the low-end implementation of BI.

Foreign Enterprises, most of which have entered the mid-end bi, is called data analysis. Some companies have started to enter high-end bi, called data mining. However, most of our enterprises still stay in the reporting stage. Through the above data can see the strong and irreplaceable role of BI .

third, structural body

When it comes to structure, there is a flash of a graph in your head, because it can help us understand and enhance the visual effect, so let's learn about its structure through graphs.

in order to learn more about the whole of BI, it has a certain memory from the brain, so as to better learn each step and its deeper meaning. This is followed by a detailed diagram showing the entire process.

Iv. Advantages and disadvantages Advantages:

Business Intelligence (BI) collects, observes, and analyzes and acts according to their own business data. Enables all businesses and businesses to be more flexible, efficient, and responsive. Is now a high point in business intelligence bi development.

Disadvantages:

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

2. Although traditional bi vendors dominate the mainstream, they are inherently deficient. The traditional BI solution is basically two kinds of ideas, one is big data integrated machine, the other is distributed data Warehouse. However, the total cost of ownership of big data integrated machines is high, most enterprises are not blessed, and distributed data warehouse by traffic charges, the use of expensive, 1TB data may need hundreds of thousands of. Such big data products dramatically increase the total cost of ownership (TCO) of BI applications.

v. Summary

the above is a simple understandingof bi ,bi is simply the analysis of big data from the multi-dimensional data mining, thus reflecting the value of big data. In the future study will be further follow-up, respectively , SSIS,SSAS,SSRS and other simple introduction.

bi-not the same feeling feet