International Trade Fairs Based on Big Data

Abstract

The application of big data is very important to understand how they consume in the decision-making and internationalization of SMEs. This research mainly discusses the impact analysis of international trade exhibitions based on big data. According to the list of the top 50,000 companies in the total import and export value of the country issued by the State Administration of Foreign Exchange and the customs in 2020, the total import and export value at the median was found. When the existing financial big data analysis technology is applied to credit business or non-credit business, it is necessary to collect many business data of enterprises or individuals, including structured data such as transaction flow, historical records and accounts, the ins and outs of funds, and non-structural The collection of standardized data is becoming more and more important, such as social information, business registration information, credit information and other traditional information resources that cannot be measured and quantified. Small businesses (1–100 employees) are almost three times the penetration rate of big data business intelligence analysis for large companies of 81% or higher. This research will help solve the problem of SMEs in international trade exhibitions.