大数据对产业结构的影响主要分为三个层次：一是智能电网和物联网等数据终端

The impact of big data on the industrial structure is mainly divided into three levels: one is the change in the number of data terminals such as smart grid and the Internet of Things; the second is the change in data dimensions, such as consumer behavior and social networks; the third is the business model and management Changes in patterns. For example, business behaviors from product consumption to credit marketing, management models from empirical decision-making to data decision-making, and so on. Big data has opened up the fourth paradigm after scientific research, experimental science, theoretical science and computer science. The main value and importance of the big data industry lies in the storage and analysis of massive data, and the prediction of its development trends. With the help of big data, professionals can explore the correlation between different industrial structures, and objectively predict the evolution of the industrial structure, so as to guide enterprise innovation. The main effects of big data on industrial structure and economic development are as follows:

The impact of big data on industrial structure is divided into three levels: first, the change of the number of data terminals such as smart grid and Internet of Things, second, the change of data dimension, such as consumer behavior and social networking, and third, the change of business model and management mode. For example, business behavior from product consumption to credit marketing, from empirical decisions to management models for data decisions, and so on. Big data has opened up a fourth paradigm after scientific research, experimental science, theoretical science and computer science, and the main value and importance of big data industry lies in the storage and analysis of massive amounts of data, as well as the prediction of its trends. With big data, professionals can tap the correlation between different industrial structures and objectively predict the evolution of industrial structure, thus guiding enterprise innovation. The impact of big data on industrial structure and economic development is as follows:

The impact of big data on industrial structure can be divided into three levels: first, the change of the number of data terminals such as smart grid and Internet of things; second, the change of data dimensions, such as consumer behavior and social network; third, the change of business model and management model. For example, business behavior from product consumption to credit marketing, management mode from experience decision to data decision, etc. Big data has opened up the fourth paradigm after scientific research, experimental science, theoretical science and computer science. The main value and importance of big data industry lies in the storage and analysis of massive data, as well as the prediction of its development trend. With the help of big data, professionals can mine the correlation between different industrial structures, and objectively predict the evolution trend of industrial structure, so as to guide enterprise innovation. The impact of big data on industrial structure and economic development is mainly as follows:<br>