In order to implement the "Opinions of the Central Committee of the Communist Party of China and the State Council on Constructing a Data Basic System to Better Play the Role of Data Elements", and to deeply understand the "Interim Provisions on Accounting Treatment Related to Enterprise Data Resources" and other policies, and enhance the understanding of the important theoretical significance and practical value of the inclusion of data assets in the balance sheet Understand, guide enterprises to build a data capitalization mechanism, promote the high-quality development of the digital economy, and lay a solid foundation for the listing of data assets and data capitalization. It is guided by Guangxi Investment Group Co., Ltd., hosted by Digital Guangxi Group Co., Ltd., and designated by Databao. The data asset entry training was successfully held in the China-ASEAN Digital Economy Industrial Park.
This training invited experts from the National Information Center’s Data Elements Special Class, the Chinese Academy of Fiscal Sciences, the Artificial Intelligence Institute of the National Industrial and Information Development Research Center, the Databao Data Product Research Institute and other related fields to conduct data asset entry training.
At the opening ceremony, Chen Ruowei, general manager of Digital Guangxi Group Co., Ltd., delivered a speech. He emphasized that the promulgation of the Twenty Data Articles and the "Interim Provisions" are of great significance in accelerating the cultivation of the data element market, improving transaction rules and services, establishing a data asset evaluation indicator system and a market-oriented pricing mechanism, and clarifying the issue of data rights confirmation. It provides the direction and fundamental compliance, becoming an important preparatory work for promoting data assetization. He encouraged students to learn in depth the knowledge related to entering data assets into tables, believing that "sharpening the knife will not waste time cutting wood".
At the meeting, Ma Zhijun, director of the Data Elements Department at the National Information Center, gave a detailed analysis of the drafting background, top-level design and policy interpretation of the Twenty Data Points. Ma Zhijun has 20 years of experience in software industry planning and implementation, focusing on fields such as big data, digital economy, and marketization of data elements. He explained the digital economy era 1.0, the development process of data elements and the basic system context of data elements in an in-depth and simple way. Later, he also gave a detailed interpretation of the 20 data policies.
In addition, Huang Yanfei, associate researcher at the Chinese Academy of Fiscal Sciences, provided training on the policy interpretation and outlook of the "Interim Provisions on Accounting Treatment Related to Enterprise Data Resources". Dr. Huang Yanfei is good at financial accounting theory and practice, auditing theory and practice, and research on digital transformation of finance and auditing. She analyzed how companies implement data resources into tables in accounting processing, and explained the policy background, application scenarios and current difficulties they face.
Sun Bowen, Director of the Trusted Industrial Data Business of the National Institute of Artificial Intelligence Development Research Center, gave a detailed analysis of the pain points and solutions to data registration and confirmation of rights. Sun Bowen is mainly engaged in policy and industry research in the fields of big data, public data, trusted data space, digital economy and other fields. Sun Bowen believes that data management is a necessary means to realize the value circulation of data elements. On the one hand, it promotes the supply of high-quality data by digitizing business; on the other hand, it capitalizes data through a series of management measures and value-added services to achieve high-value data output.
Dr. Peng Hailin, director of Databao Data Product Research Institute, shared a keynote speech on "The Path of Data Assets into the Table and Business Closed Loop". He said that the inclusion of data assets in the table has positive significance for state-owned enterprises, listed companies, companies planning to be listed, and large enterprises. The data assets added to the balance sheet will effectively optimize the financial statements, make the balance sheet more reasonable and robust, and help improve the financial health and credibility of the company. Peng Hailin also pointed out that the construction of the data element market needs to follow the principles of intelligent data governance, modular modeling and processing, commercialization of scenario applications, and compliance with circulation transactions.
Finally, experts in other fields also shared exciting content. This training laid a solid foundation for the entry of data assets into the table and the capitalization of data, and provided strong support for promoting the high-quality development of the digital economy.