2090–SCVP32-0 On January 1, the Interim Provisions on Accounting Treatment related to Enterprise Data Resources (hereinafter referred to as the “Interim Provisions”) were formally implemented. The entry of enterprise data assets into the table has taken a key step of “from 0 to 1”.
Data is the “result” of digitalization and intelligence, and it is also the “element” that drives digitalization and intelligence. The entry of data assets into the table means that industrial digitalization ushered in new opportunities.
2090–SCVP32-0 “Entry” changes the business model of enterprises
The entry of data assets into the table not only improves the standardization and unity of data internally, but also can be used as assets for trading externally, and become an important indicator that can confirm rights and measure enterprise assets and profits. In this process, the business mechanism or service model of the enterprise will change, and the data asset entry will force the enterprise to release the data capability at the same time, it will also force its digital business model to change.
2090–SCVP32-0 Wang Xiangsheng, general manager of the Taiwan Product Department of Tidal Haiyue Data, believes that the “Interim Provisions” provide a formal book confirmation for enterprise data assets, laying a solid foundation for its pricing and trading, and also making it easier for enterprises rich in data resources to obtain financing support through asset securitization and other means. In particular, it is of great significance to grasp the industrial digital development of leading enterprises in the data resource industry.
2090–SCVP32-0 In the view of Yan Yang, deputy secretary-general of the Zhongguancun Big Data Industry Alliance, data assets will take over land finance, with a total scale of 8.6 trillion yuan and a potential market of up to 60 trillion yuan. At present, the enterprise data resources “enter the table”, under the guidance of relevant data security management regulations and norms, according to the “seven-step method” of entry preparation, management activities, resource classification, resource valuation, service life estimation, repeated sales, tax risk control, in this process, it is necessary to focus on solving the problem of number rights. And integrate the use of traditional valuation, order driven, algorithm refinement, AI fine-tuning, three reconstruction (input, value creation and trading) five types of data asset evaluation and pricing methods.
2090–SCVP32-0 However, data asset listing is not just the responsibility of the finance department, but a systematic project, which requires the coordination of internal information/digital management, financial management, procurement management and human resource management departments, as well as the use of external data evaluators, lawyers, accountants and auditors to provide a variety of professional services.
Before the introduction of the Interim Provisions, most of the “data assets” in the market did not necessarily meet the requirements of accounting standards for asset recognition, in other words, may not be able to “enter the table.” After the “Interim Provisions”, more from the perspective of whether it can be entered into the table to judge whether the relevant data resources can be called “data assets”.