By simulating the application scenario of big data technology in financial management of digital enterprises, and based on the core knowledge of accounting major, the Financial Intelligence Competition examines students' digital processing ability of collaborative business, external coordination and communication ability, understanding (application) ability of financial policies and processes, financial big data collection and analysis ability, and the combination of knowledge and practice is a stage for students to show their digital ability.

Purpose of the competition:

In order to further promote the education practice of big data analysis in financial management, accounting and other related majors, improve the quality of personnel training, cultivate "financial digitalization" talents, seamlessly meet the needs of social and regional digital economy development, and let students learn leadership, planning and analysis in the digital age in competitions, so as to accumulate strength for future employment.

Competition mode:

The contest adopts online competition, and the competition platform is Xindaoyun teaching platform +DBE financial big data analysis practice teaching platform.

Competition content:

The financial big data competition is divided into two parts: theoretical knowledge and practical ability. The specific contents of students' abilities are as follows:

First, the theoretical knowledge contest:

1. The concept and characteristics of big data: to examine students' understanding of the concept, characteristics and application scenarios of big data.

2. Characteristics and application scenarios of financial big data analysis: To investigate students' mastery of the characteristics, application scenarios, application values and other knowledge points of financial big data analysis.

Second, the practical ability competition:

1. Data capture capability: use the Python language editor built into the platform to capture the specified financial statement data.

2. Data processing capability: the whole data processing process such as data cleaning and data integration of captured data is completed by using the data processing tools built in the platform.

3. Visual presentation ability of financial report analysis: Based on the case background and problems set in the platform, from the perspective of investors, analyze the data of the whole industry from the aspects of profitability, solvency, operation ability and development ability, and present the analysis results visually.

4. Report writing: Based on the idea of "case background-investment demand analysis-indicator determination-visual analysis", write the financial investment analysis report of the case enterprise, upload it in PPT form, and record PPT explanation video for uploading.