Today, let's take a look at how visual data marketing in the big data Internet environment drives the development of the industry.
From the beginning of 2 1 century to the present, it is the heyday of Internet in China. During this period, Internet traffic provided an entrance and resources for the big data industry and promoted the rise of China's big data industry.
In the eco-industrial chain of big data, we often say that data visualization overlaps with BI in the commercial field, that is, BI needs visualization in the data presentation stage, which is mainly used to replace the past Excel+PPT data presentation form within the enterprise.
At present, there are many enterprises doing visualization in China, but the technical emphasis is different. For example, Baidu's Echarts is an open source visualization tool, which focuses on the front end. Developers can use it directly, but it does not provide professional services. Arriga DataV, Digital Hail and DataHunter are all doing big-screen data visualization, which can provide professional commercial products and services.
According to the Map of China's Big Data Industry (Version 20 17) released by DTiii, there were more than 1500 big data enterprises in China in 20 17 years. In the segmentation field, there are more than 50 enterprises providing visual services or BI, most of which are small and medium-sized entrepreneurial enterprises, and most of them have operating income of less than several million.
At the DataHunterA financing conference of data visualization enterprise, Chen Xinhe, president of DT Big Data Industry Innovation Research Institute, said that the heyday of China's big data investment was 20 14 to 20 15 years. At that time, a large number of start-ups appeared, but many big data companies went bankrupt because of no performance. In the first two years, big data was cold in the capital market. Investors mainly look at the potential of the product to see if it can solve office problems.
In this regard, LouisLu of Yintai Capital said that investors pay more attention to the practical ability, iteration speed and execution of major data products in the terminal.
Marco of DataHunterCTO thinks that the future data visualization should focus on ease of use, so that the threshold for using products will be lowered. If we can give full play to the market potential like Excel, the value of data visualization will be infinite.
No matter from "Made in China 2050" or the information development and data management of modern enterprises, the prospect of data visualization can not be underestimated. In the future, data visualization will focus on the BI field, specifically in the financial, retail, catering and other industries. If Sichuan computer training/thinking enterprises want to make the application of data visualization a hot spot, they must first build the information infrastructure, and then make efforts in technology and iteration speed.