I、Introduction
Inclusive finance, related to the access of financial services for the common people, as well as the support of finance for poverty alleviation and building a well-off society in an all-round way, has been increasingly highlighted in the economy and even in the national strategy. Therefore, one of the most important goals to promote financial reform, financial innovation, financial opening is to advance the popularization of financial services. So that financial service that is more convenient, faster, more affordable and safer can be accessed by ordinary people, small and micro enterprises, villagers in rural or remote mountain areas. Thanks to increasingly prominent performance of inclusive finance in serving the financial vulnerable groups and rural residents, enhancing the targeted poverty alleviation, financial institutions recognize that inclusive finance is a necessary driving force to promote their transformation. The year of 2020 witnesses that data has been recognized as one of the five production factors by the central government of China for the first time. In combination with the digital technologies like big data and artificial intelligence, please develop the solution of inclusive financial service system that is accurate, convenient and efficient.
Requirements
1. Integrate more industry data to extend the coverage of inclusive financial serves.
2. Establish efficient and flexible data processing mechanism to support the system.
3. Online and intelligent technologies are applied to all aspects of inclusive financial services.
Data Introduction
1. The datasets of this section are provided by the organizing committee. Participants will design the project based on but not limited to the offered data.
2. All data have been sampled and desensitized to protect privacy of users and data security.
3. Involving sensitive data, the reference data is allowed to be used in this competition only. Any data leakage or usage for other purposes is strictly prohibited.
II、Competition Rules
Preliminary Round
III、Review Methods
The contest observes a principle of being fair, equitable and open and strictly abides by the review procedures. It follows standard operations to ensure the objectivity and authenticity of the review results.
Rules of review
1. The review board holds the final say and legal binding effect;
2. Preliminary and semi-final contests: At least five experts shall be involved in review for each project.
3. Final contest: At least nine experts shall be involved in review for each project.
Requirements for review
1. Review board: The expert team for review can comprise university or college professors, scholars from scientific research institutions, industry experts, investors from venture investment institutions, persons in charge of listed companies, financial experts and management experts.
2. Filing of review experts: All experts engaged in review for the contest shall file their profiles for record to the contest organizing committee, including name, age, gender, organization, position, contact information, qualification and certificates of honor and background introduction.
3. Archiving of review documents: The review scoring sheet shall include the reviewer’s signature and review comments.
4. Review method: Contesting projects are scored by scoring sheets, with a full credit of 100 points. Each reviewer scores the project separately. After all scoring sheets are ready, the highest and the lowest scores are removed and the weighted average of the rest scores is the final score of the contestant.
5. Review dimensions and weights
● Technology, algorithm and product (25 points)
● Innovativeness points and implementation scheme (30 points)
● Project value and feasibility (20 points)
● Industry and market significance (10 points)
● Data analysis results(5 points)
● Team performance (5 points)
● Financial performance (5 points)
Total: 100 points
About scoring items:
(1) Technology, product and algorithm: Descriptions of product development and production strategies, industry characteristics, focus of competition, major algorithm, technical indicators and key technologies which primarily involve the technology, product and background, as well as the current progress.
(2) Innovative points and implementation scheme: Innovative points of the project or product, the prospective marketing strategies of the project or product, product profit models, and whether there is a detailed implementation plan in place.
(3) Industry and market significance: Market positioning and demand analysis, industry history and outlook, rationality of the marketing positioning, forecast of the future market sales, technical barriers to the industry, trade barriers and policy restrictions.
(4) Project value and feasibility: Commercial value, social value and positive influence of the project; feasibility.
(5) Data analysis results: Data analysis method, analysis result description, self-obtained data description (if any).
(6) Team performance: Composition of the core team, and whether the background, qualification and expertise of the team members are capable of supporting the whole project throughout the R&D and innovation.
(7) Financial performance: Demonstration of the history and prospective financial performance of the company, demonstration of the expected financial performance of the team, whether there is a financial barrier, and capital usage details including fixed asset investment, ongoing construction, R&D investment and management fees.
(8). Review scoring basis: Experts will focus on the submitted project proposals and refer to the review dimensions to single out outstanding teams.