On the strategic significance of big data from traditional enterprises

At present, the world is in a new round of scientific and technological revolution and industrial change at a critical time, with big data as the representative of information technology industry changes, so that the development of enterprises in information technology in a new starting line, how to fully tap the use of big data resources, enterprises are currently facing a major issue.

The strategic importance of data lies in the mastery of large data information. On the other hand, it is the combination of big data and industry, the specialization of massive data to realize the "value-added" of data and its application. With the integration of resources and the development of industrial chain, big Data application is becoming a new economic growth point, and gradually found its application in smart home, intelligent manufacturing, smart travel, intelligent medical, internet finance and so on.

McKinsey was the first to say: "Data has penetrated into every industry and business function areas, becoming an important production factor." The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. ”

In particular, big data has the following four basic features:

Huge data volume

Baidu data records every day Baidu's home page search for more than 1.5PB of data, if you want to print 500 billion A4 paper, and the data prove that human development to today all printed out of the data is more than 200 PB.

Diverse data types

Now the quantity type is not only the text form, more is the picture, the video, the audio, the geographical location information and so on many types of data, the personalization data occupies the overwhelming 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

Take video, for example, one-hour video, which can be useful for just two seconds in an uninterrupted monitoring process. Useful data is only one of 3600 points.

The Big Data era also presents two challenges for enterprise data visualization:

1, visualization of Big Data

As the enterprise originally sailed in the Yangtze River, now sailing in the sea, the traditional small data into the traditional small data + modern large record; structured data becomes structured data + unstructured data, and memory and distributed computing replace the original calculation method.

2. Visual diversity

Big data will cause unified data visualization in centralized mode indigestion, it is bound to decentralized part of the data visualization production authority. and the management mode of enterprises from the pyramid to flat transfer, more middle-level managers have the use of human rights, decision-making power, distribution rights. More and more data visualization analysis has been developed from the information department to the information department and the business unit.

Sail soft is based on the situation of the introduction of business intelligence product Finebi, to solve business people self-help analysis and large data processing needs. As a data visualization practitioner, the goal should be to create value for the data, the value of which lies in the use of data, which requires the use of data visualization tools. If the data were to be compared to oil, the number Finebi would serve as a drilling rig for oil extraction. At present, many enterprises because of the traditional production management, data management is not fully integrated into the management system. If the enterprise can face the value of data, and in the future to achieve fine data management, into the actual production operation guidance, will have a great guiding effect on enterprise decision-making.

On the strategic significance of big data from traditional enterprises