Core Insights - China Foods has achieved a historic breakthrough in data assetization, successfully completing the accounting entry for its "Vending Machine Sales Performance Analysis Report Data" product, with an entry amount of 1.023 million yuan [1] - The project marks the first complete closed-loop case of "data resources - data products - data assets - data revenue" for China Foods, demonstrating efficient cross-departmental collaboration and rapid digital execution [1][2] - The company emphasizes the importance of not just recording data on the balance sheet but also establishing a sustainable mechanism for data value transformation [1][2] Data Assetization Strategy - Under the guidance of COFCO Group's digital transformation requirements, China Foods has proactively laid out a strategic framework for data assetization, focusing on both monetization and circulation of data [2] - The "Vending Machine Sales Performance Analysis Report Data" product integrates data from 110,000 vending machines, providing reliable support for operational management, product optimization, and sales forecasting [2] Compliance and Efficiency - To ensure compliance and efficiency, multiple departments within China Foods collaborated to establish management guidelines and frameworks for data asset management and protection [3] - The data product not only integrates into internal operations but also possesses external trading attributes, enhancing both internal efficiency and external market insights [3] Market Potential and Future Plans - The "Vending Machine Sales Performance Analysis Report Data" product has already achieved a transaction scale in the millions, with expectations for significant revenue growth during the 14th Five-Year Plan period [4] - China Foods has initiated plans for a second batch of high-value data assets, focusing on supply chain collaboration data and regional consumer profiling, aiming to transform data from a cost center to a profit center [4] Industry Impact - The practices of China Foods exemplify the national initiative of "data elements" in the consumer goods sector, highlighting that true data assetization lies in its ability to drive decision-making, optimize operations, and create incremental revenue [4]

Core Viewpoint - The stock price of Beiqi Blue Valley (600733.SH) has increased significantly, reflecting positive market sentiment despite the company reporting a net loss in its latest half-year results [2][8]. Financial Performance - Beiqi Blue Valley reported a revenue of 9.52 billion yuan for the first half of the year, representing a year-on-year growth of 154.4% [8]. - The company's net profit attributable to shareholders was -2.31 billion yuan, a reduction in loss by 10.2% compared to the previous year [8]. - The overall gross margin improved to -5.47%, up from -10.98% in the same period last year [8]. Asset and Liabilities - The company's asset-liability ratio increased from 75.08% in the first quarter to 80.26% in the half-year report [9]. Data Resources and R&D - The total amount of data resources reported by the company was 12.17 million yuan, with a notable increase in capitalized development expenditures from 2.23 million yuan to 4.20 million yuan [4][8]. - The intangible assets decreased from 9.62 million yuan to 7.97 million yuan due to normal amortization [4]. Market Position and Stock Performance - Beiqi Blue Valley is the only listed company in the automotive sector to disclose data resources, and its stock price has risen by over 20% since the announcement of its expected loss on July 15 [2][3]. - The automotive sector overall saw a 1.05% increase, with Beiqi Blue Valley's stock rising by 5.72% on the same day [2][3]. Technological Advancements - The company has made significant progress in intelligent driving and digitalization, including the development of platforms for high-speed NOA and city NOA, as well as a data cloud control platform [9]. - Beiqi Blue Valley has established a comprehensive self-research capability in intelligent driving technology, covering levels L2 to L4 of autonomous driving [9].