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Business Intelligence is a set of techniques and tools to transform from raw data into information that is useful and meaningful for the purpose of business analysis. BI technologies can handle structured data in very large quantities to help identify, develop, and besides create the opportunity for a new business strategy. The goal of BI is to facilitate interpretation of the large amount of data. Identify new opportunities and implement an effective strategies based on business insight can provide a competitive market advantage and long-term stability.

BI technology provide the view history now and predictions of business operations. General functions of business intelligence technology is reporting, online analytical processing, analysis, data mining, the process of extracting, processing of complex events, business performance management, measurement, extracting text, predictive and analytical analytical prescriptive.

BI can be used to support a large number of business decision ranging from operations to strategic. Operating decisions including the placement and price of the product. Strategic decisions including the priorities, goals and direction at a broader level. In all cases, BI is more effective when combined with data obtained from the marketplace where companies operate (external data) with data from internal sources such as the company's business operations and financial data (internal data). When combined, external and internal data can provide a more complete picture, which in effect, creating the "intelligence" that cannot be derived from any single data sets.

The term "Business Intelligence" was originally found by Richar Millar Devens in "Cyclopedia of Commercial and Business Anecdotes" in 1865. Devens uses that term to describe how a banker, Sir Henry Furnese, gain profit by playing the information about the environment, before its competitors. "Throughout Holland, Flanders, France, and Germany, he kept the business intelligence sequence a complete and perfect. News from many battles was first received by him, and the fall of Namur adds to his advantage, thanks to the early acceptance of the news. " (Devens, (1865), p. 210). The ability to collect and react based on information received, a very reliable Furnese abilities, until now still being the heart of BI.

In a 1958 article, researchers from IBM Hans Peter Luhn used the term business intelligence. He is using the dictionary definition of Webster about intelligence: "ability to understand profound relationship from the fact that there is a way as a guide for action towards a desired goal."

Business Intelligence
Business Intelligence as understood now is said to have evolved from the decision support system (SPK) which start from the 1960s and flourished throughout the mid-1980s. SPK comes from computer-aided models created to help in decision making and planning. From CMS, data warehouse, Executive information systems, OLAP and business intelligence came into focus at the end of the 1980s.

In 1988, the Italian Consortium-Netherlands-France-United Kingdom implement international meetings about the Data analysis Ragamcara in Rome. Its main purpose is to reduce various dimensions into one or two (by detecting patterns in the data) that can be presented at the human decisions makers.

In 1989, Howard Dresner (then as analysts Gartner Group) proposed the "Business Intelligence" as a generic term to describe "concepts and methods to improve business decision-making by using fact-based help system. In the late 1990s this usage is widespread.