Business Intelligence Terminology Explanation, Intelligent Terminology Explanation

Business intelligence (BI), also known as business intelligence or business intelligence, refers to the use of modern data warehouse technology, online analysis and processing technology, data mining and data presentation technology for data analysis to achieve business value.

The concept of business intelligence was first proposed by the Gartner Group in 1996, which defines business intelligence as: business intelligence describes a set of concepts and methods to assist business decision-making through the application of fact-based support systems. Business intelligence technology provides the technology and methods that enable businesses to quickly analyze data, including collecting, managing, and analyzing data, turning it into useful information, and then distributing it across the business.

Supplement. The implementation of business intelligence system is a complex system engineering, and the whole project involves enterprise management, operation management, information system, data warehouse, data mining, statistical analysis and many other categories of knowledge. Therefore, in addition to choosing the right business intelligence software tool, users must also follow the right implementation methods to ensure the success of the project.

The implementation steps of a business intelligence project can be divided into:

1) Requirements analysis: Requirements analysis is the first step in the implementation of business intelligence, and the expectations and needs of the enterprise for business intelligence must be clearly defined before other activities are carried out, including the topics that need to be analyzed, and the angles (dimensions) that each topic may view; It is necessary to discover the patterns in those aspects of the enterprise. The needs of the user must be clear.

2) Data warehouse modeling: Through the analysis of enterprise requirements, establish the logical model and physical model of enterprise data warehouse, plan the application architecture of the system, and organize and classify all kinds of enterprise data according to the analysis theme.

3) Data extraction: After the data warehouse is established, the data must be extracted from the business system into the data warehouse, and the data must be transformed and cleaned in the process of extraction to meet the needs of analysis.

4) Establish business intelligence analysis report: Business intelligence analysis report needs to be developed by professionals in accordance with the format formulated by the user, and the user can also develop it by himself (the development method is simple and fast).

5) User Training and Data Simulation Testing: For development-using a decoupled business intelligence system, the end-user is fairly simple to use and can be analyzed for a specific business problem with a few clicks.

6) System Improvement and Perfection: The implementation of any system must be constantly improved. This is especially true for business intelligence systems, where users may have more and more specific requirements after a period of use, and then the system needs to be refactored or improved by following the steps above.

Business intelligence, in layman's terms, can be understood as a complete set of solutions, which are used to effectively integrate the existing data in the enterprise, provide reports quickly and accurately, and put forward decision-making basis, so as to help enterprises make informed business operation decisions.

Specifically, you can divide it into 3 pieces to understand.

Tags: ETL, Data Warehouse, OLAP, Visual Report

BI tools: Tableau, QlikView, and FineBI technology development direction: self-service BI (simple and easy-to-use tools), mobile BI, cloud BI (SaaS level); The combination of data mining technology, R language and other analysis languages expands the function of professional data analysis.

At present, business intelligence (BI) is a set of data technology solutions composed of data warehouse, query reports, data analysis, etc. Its main function is to open up and effectively integrate data from different business information systems such as ERP, CRM, OA and other data in the enterprise (open up the business system), and then use appropriate query tools and analysis tools to quickly and accurately provide visual analysis such as reports (query and report visual analysis) to provide decision-making support for enterprises. At present, the mainstream business intelligence BI at home and abroad includes Tableau, PowerBI, Pico Data, etc.

BI Visual Data Analysis - Pico Data.

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

Back in 1958, IBM researcher Hans Peter Luhn defined business intelligence as "the ability to understand the interrelationships of things and rely on this ability to guide decisions to achieve desired goals." "The application of technologies such as Leadership Information System (EIS) and Decision Support System (DSS) that emerged during this period was the predecessor of Business Intelligence BI.

In 1989, Howard Dresner described business intelligence as "a set of theories and methods for improving business decision-making using fact-based decision support systems." ”

In 1996, Gartner Group proposed the definition of business intelligence BI: "a type of technology and its application composed of data warehouse (or data mart), query report, data analysis, data mining, data backup and recovery, etc., for the purpose of helping enterprises make decisions." "Business Intelligence BI provides organizations with the technology and methods to rapidly analyze data, including collecting, managing, and analyzing data, transforming it into valuable information, and distributing it across the enterprise.

Let the company's decision-making be based on the data, reduce the blindness of decision-making, and rationally drive enterprise management and operation.

Intelligence has three meanings, namely psychological science terms, artificial intelligence, and Chinese vocabulary.

1. Psychological science terminology.

Intelligence is a general term for intelligence and ability, and ancient Chinese thinkers generally regarded wisdom and ability as two relatively independent concepts.

Xunzi Zhengming Chapter": "Therefore, those who know in people are called knowing, and those who know are wise in their words." Therefore, those who can be in others are called capable, and those who can have the ability to be said to be in tune."

Among them, "wisdom" refers to certain psychological characteristics of carrying out cognitive activities, and "ability" refers to certain psychological characteristics of carrying out practical activities. There are also many thinkers who combine the two as a whole.

Lü's Spring and Autumn Period: "I don't know how to take advantage of things and be self-conscious, rob of his wisdom, and have more edicts, and I think I ,...... myself."This wind of death is also. Wang Chong of the Eastern Han Dynasty put forward the concept of "intelligent people", "On Heng and Practical Knowledge".

Therefore, intelligent people can't learn without learning, and they don't know if they don't ask", "Talents have superiority, knowledge is learned by learning, learning is knowing, and not asking and not knowing." ”

He compared "talent" with "intelligent person", and believed that talent is a person with a certain level of intelligence, and its essence lies in combining wisdom and ability as a sign of examining people.

2. Artificial intelligence.

The process from feeling and remembering to thinking is called "Duan does not sell wisdom", and the result of wisdom is to produce behavior and language, the expression process of behavior and language is called "ability", and the two are collectively called "intelligence", and the whole process of feeling, memory, recall, thinking, language, and behavior is called the intelligent process, which is the manifestation of intelligence and ability.

They can also be described by "IQ" and "GEI" respectively to describe the degree to which they exert intelligence in an individual. "Emotional intelligence" can adjust the correct performance of IQ and ability quotient, or control the two to play their role properly.

3. Chinese vocabulary: intelligence.

1. Resourcefulness and talent.

Song Sima Guang "Epitaph of Mrs. Cheng": "Woohoo! A woman is docile enough to be in harmony with her family, and wise enough to be in her family. ”

Translation: "Alas! It is good for a woman to be gentle and obedient enough to be in harmony with his family, and wise enough to put his family in order. ”

2. Refers to intelligence.

Li Dazhao, "The Problem of Child Labor in Shanghai": "In order to help them develop intellectually and be properly entertained, it is indispensable to the hand-holding youth groups in Shanghai that are dedicated to the proletarians. ”

Business intelligence is the process of collecting, managing, and analyzing business information. The purpose of business intelligence is to give decision-makers at all levels of the organization access to accurate information so that they can make more favorable decisions about the business. Business intelligence generally consists of data warehousing, data mining, data backup, and recovery.

Nowadays, business intelligence BI is getting more and more attention from enterprises, and many business intelligence software have come into being. YSH Huachen - China's leading provider of business intelligence BI tools and big data analysis and reporting software.