Shulou(Shulou.com)06/03 Report--

Today, big data is everywhere and is more and more widely used in finance, Internet, science, e-commerce, industry and even in all aspects of our lives, and the access to it is becoming more and more convenient.

However, many companies only know the importance of big data, and big data, who is crazy about the storage collection industry, is afraid that not catching big data's tuyere will lead to his backwardness, but he does not know how to use this data to guide his business and project direction. Let big data lie quietly in the company's database, wasted big data's real value, but also lost the meaning of big data.

In addition, with the advent of the era of big data, information is growing at an explosive rate every day, and its complexity is getting higher and higher; secondly, with the emergence of more and more demand for data visualization, maps, 3D physical structures and other technologies will be more widely used. Therefore, when human cognitive ability is more and more limited by the traditional visualization form, the value hidden behind big data is difficult to play. If the limitation of the display form leads to the reduction of the readability and timeliness of the data, thus affecting the rapid implementation of users' understanding and decision-making, then data visualization will lose its value.

We talk about big data every day. How big can the data be? You may have heard the conclusion that 90% of the world's data have been generated in the past few years. In fact, in the past three decades, the amount of data in the world has increased about 10 times every two years, and some experts estimate that by 2020, the annual output of data will reach 4300% or more, which has far exceeded the famous Moore's law theory; therefore, faced with such great challenges, data visualization in the big data era is particularly important.

At present, there are many mature BI data visualization tools on the market, such as Tableau, NBI one-stop big data analysis platform and so on. From the product attributes, the latter is more in line with the habits of Chinese users.

What are the characteristics of data visualization in big data era?

1. Only by showing the complicated big data directly in front of the decision-making, can we save more time and make the work more efficient.

2. Use the data to better analyze users, provide targeted services for users, and increase the interaction with users behind the data.

3. In the era of explosive growth of data, only when we have a good grasp of the time limit, can we grasp the opportunity more acutely.

What are the application scenarios of data visualization?

1. For one of the most representative scenario applications of data visualization, we have to mention the large screen. Among them, the typical Singles Day Shopping Carnival uses a large real-time data screen to bring the audience a more accurate, shocking and clear experience.

2. Of course, most of them use intuitive, flexible and diverse charts to provide business driving forces for enterprises and provide decision support for enterprises.

The presentation mode of data visualization is constantly optimized.

The rapid development of technology and the ever-changing cognitive framework are opening up new horizons for human beings and promoting the combination of art and technology to produce new forms of data visualization. Express the data in a more detailed form, understand the data in a more comprehensive dimension, present the data in a more beautiful way, and make the visualization more powerful. Throughout history, as people accept and get used to a new invention, the next step is to optimize and beautify it step by step to meet the requirements of the times, and so is data visualization, because it is becoming commonplace. Good reading experience and visual performance will become one of the features that distinguish it from the competition.

Summary

Data visualization is a complex discipline that combines science, design and art at the same time, and its core significance always lies in clear narration and artistic presentation, which need to rely on the careful planning of data analysts and designers rather than just cool effects. finally achieve the goal of helping users understand data and make decisions, no longer let the data sleep, can give full play to its great value and unlimited potential.

Using NBI big data analysis platform, we can easily build all kinds of data visualization and realize the landing of data value.

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