Business Intelligence (1)--The concept of business intelligence

First, the emergence of business intelligence

Commercial Intelligence (Business Intelligence, abbreviated as BI) originated from the 90 's, its fundamental starting point is to use the company's existing business data to draw some valuable conclusions in order to assist decision-making. Bring business intelligence, everyone may encounter this example, that is the classic Wal-Mart diapers and beer relationship (do not know the students can go to Baidu). But in the work of the first contact with BI, often is some data query, which will make us very confused, in the end what BI is a thing? How is the query under the data ah, said the intelligence?

The problem arises from the fact that we understand bi too literally, because when it comes to "intelligence", people always feel very tall and always contain some sort of complex algorithm. In fact, Wal-Mart's example is the advanced application of BI, namely data Mining, and Bi's not only contains data mining, but also includes data query. You may have questions about how a data query is also business intelligence. In fact, the data query is far less simple than we think, because the business in the daily business process generated by the data are based on the transactional data generated by an activity (perhaps the local function in the production of detailed data will also generate aggregated data), and business decision-making needs to be aggregated data, It is time-consuming to convert from massive amounts of detail to aggregated data, especially for large enterprises. What's more, we often want to analyze the data from multiple dimensions, the simple summarization simply does not meet the needs, need to do data conversion.

In essence, BI is a massive amount of data generated from online transaction processing (OLTP), which is extracted from a relational database into multidimensional data and stored in data Warehouse, and finally provides valuable information through online analytical processing (OLAP) and data mining techniques. Provide decision support for managers.

Second, the application status of Business intelligence

I do not directly excerpt from a number of online research conclusions, only talk about the two companies contacted by the author. A company is a central enterprise, currently there is no concept of BI, its ERP system is the best in the world, but the ERP system and other applications of the company has not yet reached full integration, to a certain extent also affected the company's operational efficiency and data quality. For the company, the primary issue in the information industry is to continue to deepen the application of online transaction processing, bi really too early premature.

Another enterprise is a large-scale private enterprises, the rapid development of the online transaction processing this piece has been done quite complete, the system even between the Office software has achieved efficient integration, the company a few years ago on-line BI, the current application of good results. For example, in the past encountered an income link problem, may need to spend a lot of manpower and time cost to find the problem, now in the BI system to do several queries on it.

As for some small and medium-sized enterprises, informatization is still in a relatively elementary stage, and a good bi software quotes and expensive, they are not to mention the application of BI.

Third, the application of business intelligence prospects

The concept of traditional business intelligence is often confined to the internal enterprise, but with the development of the Internet, more and more external data can be translated into valuable information, especially to the C industry companies, "card House" success is one example.

On the one hand, traditional software companies continue to improve performance on their BI tools, deepen applications, on the other hand, emerging internet companies based on their big data platform to launch a variety of indicators, the future enterprises will use these two channels to provide more social needs of products and services, and constantly optimize their own management, improve efficiency. Resources will be more efficiently configured, and people will be able to access products and services more conveniently and cheaply.

Business Intelligence (1)--The concept of business intelligence