At present, Business Intelligence (BI) is a set of data technology solutions consisting of data warehouse, query report and data analysis. The main function of BI is to integrate the data of different business information systems, such as ERP, CRM, OA, etc. , and then provide visual analysis (query and report visual analysis) quickly and accurately by using appropriate query tools and analysis tools to provide decision support for enterprises. At present, the mainstream business intelligence BI at home and abroad includes tableau, powerbi and Parker Data.

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Before the definition of business intelligence BI was established at this stage, business intelligence BI also experienced three development stages:

As early as 1958, Hans Peter Luhn, an IBM researcher, defined BI as "the ability to understand the relationship between things and rely on this ability to guide decision-making to achieve the expected goals." During this period, technical applications such as leadership information system (EIS) and decision support system (DSS) were the predecessors of business intelligence BI.

In 1989, Howard Dresner described BI as "a set of theories and methods to improve business decision-making by using fact-based decision support systems." ?

Data Visualization-Pike Data Business Intelligence BI

In 1996, Gartner Group, a consulting organization, put forward the definition of business intelligence BI: "A technology and its application consists of data warehouse (or data mart), query report, data analysis, data mining, data backup and recovery, etc. Designed to help companies make decisions. " Business Intelligence BI) provides enterprises with technologies and methods to quickly analyze data, including collecting, managing and analyzing data, transforming data into valuable information and distributing it to all parts of the enterprise. Let the decision-making of enterprises be based on data, reduce the blindness of decision-making, and reasonably drive the management and operation of enterprises.

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