Big data involves a wide range of industries and has applications in politics, education, media, medicine, commerce, industry, agriculture, the Internet and many other aspects. In terms of the comprehensive value potential of big data applications, information technology, finance and insurance, government and wholesale trade have the highest potential. Specific to the data volume of companies in the industry, information, finance and insurance, computers and electronic equipment, and public utilities have the largest data volume. It can be seen that both the information industry and the financial industry are key industries for big data application, regardless of the investment scale or application potential.

The application of big data first needs to make complex large data sets and obscure data reports easy to read, friendly and easy to understand. Visualization is undoubtedly the best choice. As far as the application of big data visualization is concerned, it has a wide range of applications, such as government applications, business decisions, public services and so on.

The application of big data requires accurate customer portraits. Corporate customer portraits include production, circulation, operation, finance, sales and customer data, as well as upstream and downstream data of related industrial chains. Only on the basis of customer portraits can accurate marketing be effectively carried out. Through big data analysis, data such as cultural concepts, consumption income, consumption habits and lifestyles of user groups are mined, user groups are classified in more detail, and different brand promotion strategies and marketing strategies are formulated according to different user groups, so as to improve user loyalty, cultivate potential customers who can bring high value to enterprises and increase market share.

What is the application prospect of big data visualization? Ivy Bian Xiao will share with you here. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.