At present, the world is in a critical period of a new round of scientific and technological revolution and industrial transformation. The transformation of the information technology industry represented by big data has put enterprises on a new starting line in the development of information technology. How to fully exploit and utilize big data resources? It is a major issue facing the company today.
On the one hand, the strategic significance of data lies in the mastery of huge data information. On the other hand, it lies in the combination of big data and industry, and professional processing of massive data to realize the "value-added" of data and the "value" of application. With the integration of resources and the expansion of the industrial chain, big data applications are becoming a new economic growth point, and are gradually finding use in applications such as smart home, smart manufacturing, smart travel, smart medical care, and Internet finance.
McKinsey once said: "Data has penetrated into every industry and business function and has become an important production factor. People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus."
Specifically, big data has the following four basic characteristics:
The volume of data is huge
Baidu data records that the amount of data searched on Baidu's homepage is far more than 1.5PB every day. If it is to be printed, 500 billion sheets of A4 paper are needed, and the data proves that all the data printed by human development to this day is more than 200PB.
Various data types
Now the quantity type is not only in the form of text, but more in the form of pictures, videos, audios, geographic location information and other types of data, and personalized data accounts for the vast majority.
Fast data processing
Data processing follows the 1-second law, and high-value information can be quickly obtained from various types of databases.
low value density
Taking video as an example, one hour of video may only have useful data for only one or two seconds during the continuous monitoring process. Useful data is only 1 in 3600.
As a result, the era of big data also poses two challenges to enterprise data visualization :
1. Visualize big data
For example, enterprises used to sail in the Yangtze River, but now they are sailing in the sea; traditional small data has become traditional small data + modern big records; structured data has become structured data + unstructured data; memory computing and distributed computing Replace the original calculation method.
2. Visual Diversity
Big data will cause indigestion of unified data visualization under the centralized mode, and it is necessary to delegate some data visualization production rights. The management model of enterprises has also shifted from pyramid to flat, and more middle-level managers have the right to use, decision-making, and distribution. More and more data visualization analysis has evolved from the information department as the center to the information department and the business department.
