As we enter the era of big data, the textile industry attaches increasing importance to data. The demand for data integration, mining, analysis, and visualization is becoming increasingly urgent, and data visualization is showing more and more vitality. Data visualization has become an indispensable part of daily office work, emergency response, command and dispatch, and strategic decision-making.
Data visualization refers to the use of graphical means to display big data analysis results, so that production data can be expressed clearly and effectively, allowing people to understand and use it quickly and efficiently. It integrates data collection, statistics, analysis, presentation, etc. link. When data is displayed in front of business managers in an intuitive and visual graphical form, it is first easier for managers to understand their own companies, and they can gain more intuitive insights into the information hidden behind the data, assisting the digital transformation of textile companies and transforming data into knowledge. And the basis for decision-making;Secondly, if the statistical information and analysis of big data are used, managers can obtain statistical information that cannot be obtained manually, and more valuable data can be obtained through data mining. Assist textile companies to optimize production.
So to realize the visualization of data from various business systems and various professional systems of textile enterprises is to use various visual elements to display the trends, anomalies and patterns of the information contained in the data in a visual and interactive way. , to improve corporate decision-making efficiency and work efficiency.
The concept of data visualization
The textile industry visual management system uses graphics, image processing, computer vision and user interface to visually interpret data through expression, modeling and display of solids, surfaces, attributes and animations. Visualization of textile enterprises, using the ERP system and big data analysis platform, to process, analyze and mine the collected data, and display it in the form of a more intuitive visual dashboard In front of managers, let managers effectively grasp corporate information and achieve management transparency and visualization.
The role of data visualization
As far as data visualization display content is concerned, it generally includes visual elements such as maps, graphics, and charts. These visual elements have a certain logical structure, such as the production and operation status of textile enterprises, real-time operation status of equipment, raw material inventory information, Real-time production data, etc. These data include not only the current status, but also differences from the plan, development trends, etc. Compared with traditional paper reports and computer screens, because the screen is large, it can carry a lot of content, and it can be displayed in a graphical way, so it can make data, information, and even abnormalities more intuitive. It is said that a picture is worth a thousand words, so management Readers can sense quickly and make correct decisions in a timely manner.
How to use data visualization to make scientific decisions
For displaying decision-making data on a large screen, the integrity of the data must first be emphasized, that is, through the large screen, the production overview of the textile enterprise can be viewed on one screen. For managers, it is data that has been cleaned, transformed, and then displayed as needed. Data on some materials with special characteristics, such as dangerous goods and products with long procurement cycles. Through various interactive statistics, analysis, data mining, reasoning, and prediction, these data are finally used to verify the correctness of decision-making and quantified income levels.
Conclusion
The decision-making of textile enterprises will increasingly use digital means to closely integrate the macro-environment, corporate status quo, and strategic development needs, making it more scientific and accurate, combined with the experience and wisdom of entrepreneurs, and through statistical analysis, thinking and evaluation, Innovation. Transform unintuitive data phenomena into visible graphical symbols in an all-round and multi-dimensional manner, establish connections and correlations with complex, seemingly unexplainable and uncorrelated data, discover patterns and characteristics, realize data self-explanation, and allow data to Speak to gain more commercially valuable insights and value, and improve the company’s decision-making efficiency and level. This leads to excellent strategic decisions.
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