About BI business intelligence
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 is generally credited to the Gartner Group for first coming up with it in 1996, but it was actually used by IBM researcher Hans Peter Luhn as early as 1958. He defines intelligence as “the ability to understand how things relate to each other and to rely on that ability to guide decisions in order to achieve desired goals.”
In 1989, Howard Dresner described it as “a set of theories and methods for improving business decision making using fact-based decision support systems.
The Gartner Group defines business intelligence as a set of concepts and methods that aid business decision making by applying fact-based support systems. Business intelligence technology provides the technologies and methods that enable businesses to quickly analyze data, including collecting, managing, and analyzing data, turning it into useful information, and then distributing it throughout the enterprise.
Business intelligence is often understood as a tool to transform existing data in an enterprise into knowledge to help enterprises make informed business decisions. The data in question includes orders, inventory, transaction accounts, customers and suppliers from the business systems of the enterprise from the industry and competitors of the enterprise, as well as various data from the external environment of the enterprise.
And it can assist the business decision, can be the operational layer, also can be tactical layer and strategic layer decision. To transform data into knowledge, techniques such as data warehousing, online analytical processing (OLAP) tools and data mining are needed. So, technically speaking, BUSINESS intelligence is not a new technology, but a combination of data warehousing, OLAP and data mining.
It can be considered that BUSINESS intelligence is the process of collecting, managing and analyzing business information, with the purpose of enabling decision-makers at all levels of an enterprise to acquire knowledge or insight, so that they can make more favorable decisions for the enterprise. Business intelligence generally consists of data warehouse, online analytic processing, data mining, data backup and recovery. The realization of business intelligence involves software, hardware, consulting services and applications, and its basic architecture includes data warehouse, online analytic processing and data mining.
Therefore, it is appropriate to think of business intelligence as a solution. The key is to extract useful data from many different enterprise operating systems, clean it up to ensure correctness, and then merge it into an enterprise-level data warehouse through Extraction, Transformation, and Load, or ETL.
Finally, a global view of enterprise data is obtained. On this basis, appropriate query and analysis tools, data mining tools, OLAP tools are used to analyze and process the data (at this time, the information becomes knowledge to assist decision-making). Finally, the knowledge is presented to managers to provide support for the decision-making process of managers.
Visual BI design
Here take XJR business intelligence plug-in as an example to introduce the application and design rules of visual large screen.
What is data visualization
Generally speaking, is actually graphical data, will be clear and effective expression. The data can be visually presented, easy to view, but also speed up the mining of hidden value in the data. Its essence is visible, can communicate, can interact. Moreover, the large-size screen is used to display data, and its strong sense of science and technology is easy to shock the first impression of first-time users, which is convenient to create a specific atmosphere or sense of ceremony. With its large area and multiple information display features, it is convenient for many people to view it at the same time, and the data can be shared and displayed, which is convenient for team discussion and decision-making.
2. Main application scenarios of large screen visualization
At present, it is mainly applied in the business scenes of government agencies, commercial institutions, financial centers, industrial manufacturing and other industries, where the value of big data is fully demonstrated. For example, as an effective means of information transmission, data big screen is playing an important role in urban intelligent operation center, emergency command center, law enforcement monitoring center, power dispatching center, financial trading hall and other departments and institutions. It has the functions of daily monitoring, analysis and judgment, emergency command, display and report, and plays a role in helping carry out scientific management work. Here are some industry templates for your reference.
General template
Financial service platform
Sales analysis
Mobile communication IOP big data platform
Epidemic Prevention and Control data platform
Equipment data platform in machine room
Real estate data platform
Financial data center
Three, visual large screen design principles
Perhaps, people’s first impression of visual large screen is cool, but this is just face, clear and effective data transmission, is the big screen.
Generally, there are various types of resources and data that need to be displayed in a large screen. However, before display, page layout is needed to arrange the main contents in order to clarify the hierarchical relationship and flow direction, so that the viewer can quickly obtain information and balance the vision.
Under normal circumstances, to develop a large screen, enterprises need to experience: demand communication — large screen UI design — large screen data development — large screen front-end development. Follow the following principles in the process: overview first, details auxiliary.
To serve the business, so that business indicators and data reasonable display, because the need to show the overall business of the whole enterprise, it is divided into two main indicators and secondary indicators, the main indicators reflect the core business, secondary indicators for details, so in the production of different emphasis.
Excellent UI design, so that users more efficient and comfortable access to information. Color matching is mainly background color, background color is divided into the overall background and element background, no matter which one, follow two basic principles: dark color and consistency. Dark tones are used to avoid visual stimulation.
Adding animation can make the large screen look alive and optimize the visual and sensory experience. However, it is necessary to grasp the right degree. Excessive motion effect is easy to distract from the main attraction and disturb the thoughts of users, which is not conducive to the thinking and analysis of decision makers.
Although there are many visualization tools on the market at present, most of them are very polarized. Most are boring for the sake of function, and a few are flashy for the sake of showiness, making it hard for policymakers to get real value out of the data.
The XJR Business Intelligence plug-in is a browser-based tool platform for configuring large screens for data visualization. It provides rich visual design components, with a simple mouse operation, you can adjust the layout of the chart, can configure a beautiful and practical BI system in minutes.
XJR business Intelligence is designed to help companies integrate internal and external data, govern data, explore analytics, and make intelligent decisions. Enterprises will be empowered with big data analysis capabilities to help them build data ecosystems, reduce costs and increase revenues, and realize the realization of data assets.
Reference source: www.xjrsoft.com/