All of these technical comparisons or suggestions are not a denial of the prospects and value of industrial big data applications, but rather a suitable technical approach and path to industrial issues. Although there are many differences in the application of big data in the social field, it is still possible to choose some areas for research and application of industrial big data.

It is recommended to give priority to areas where traditional methods are difficult to meet requirements or areas where data strengths are beneficial. 

These areas include:

1. Production quality analysis and supervision of steel production line;

2. Special equipment diagnosis;

3. Defective image data processing and classification;

4. Energy optimization based on big data;

5. Intelligent procurement based on big data;

6. Based on market And manufacturing of predictive manufacturing systems for big data;

7. Sales decision support based on big data;

8. Application of cost big data;

9. Data modeling and decision making among processes.