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Cross Border E-commerce & Data Analysis

Jun 16,2026

The competition includes Cross Border E-commerce theory competition, Cross Border E-commerce digital marketing sand table competition, data analysis report production, etc. Through the production of data analysis reports, contestants can fully tap into their sensitivity to business issues, test their ability to use data analysis techniques to solve practical problems, and promote the improvement of their professional ethics and skills. The participating teams will analyze the Cross Border E-commerce competition topic and present a data analysis report. The specific process should include but not limited to the following points:

(1) Data pre-processing: Pre-processing of initial data;

(2) Data analysis: Using data analysis and visualization tools to analyze data;

(3) Data mining: Utilizing algorithms such as machine learning to extract data value and explore commercial value;

(4) Data visualization: Presenting the analyzed data in a visual format and ultimately creating a data analysis report in Word or PPT format.

Competition Module

((Final Stage - Higher Vocational College Student Group)

NO.

Competition Module

Duration

Weighting

1

Overall Ideas

510 mins

 

5%

2

Innovative Creativity

5%

3

Analysis Dimensions And Data Selection

5%

4

Completeness of Report Content

5%

5

Data Analysis Process

5%

6

Algorithm Modeling

5%

7

Model Validation

5%

8

Rationality and Practicality of Conclusions

5%

9

Business Applications

10%

10

Report Production

10%

11

On-Site Defense

Subject to On-site Arrangements

40%

Competition Format

No.

Competition Group

Format

1

Higher Vocational Student Group

2-player Team

2

International Student Group

1-player Team

Cross Border E-commerce & Data Analysis