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How big data can improve the air traffic control industry
Big data to improve the air traffic control industry mainly uses the following research methods:

1) Census: nearly one hundred practitioners in the air traffic control system industry were interviewed in person or by phone to obtain the best first-hand data.

2) Tracking research: to ensure real-time grasp of the dynamics of the air traffic control system industry, a tracking research mechanism has been established here in the air traffic control system industry, and the developments in the air traffic control system industry are obtained through visits every month.

3) Data of government organizations: We have inquired the industrial and commercial files of key enterprises in the air traffic control system industry, the files of the Bureau of Statistics, the customs import and export data, etc., and obtained more authoritative information.

4) SOWT analysis: SWOT analysis, Porter's Five Forces analysis and other methods were applied to analyze the competitive strengths and weaknesses as well as potential threats and development opportunities of the air traffic control system industry and enterprises.

5) Scientific Forecast: regression analysis, time series analysis, factor analysis, combination analysis and other methods are used to make a full forecast of the development trend of air traffic control system.