Core Viewpoint - The article highlights the growing importance of data asset financing in supporting technology-driven companies in Shaanxi, with a focus on the innovative financial products being developed to address the challenges faced by these companies in monetizing their data assets [1][3]. Group 1: Company Developments - Shaanxi Kunxiang plans to expand its smart parking service market and has successfully secured a data asset pledge loan of 4.95 million yuan from SPD Bank, marking a significant step in utilizing data assets for financing [1]. - The company has developed various intelligent products, including a smart parking client and a city-level static traffic management platform, accumulating substantial parking data resources [1]. - R&D expenditures account for over 60% of the company's total costs, indicating a strong commitment to innovation [1]. Group 2: Financial Innovations - SPD Bank's Xi'an branch has provided loans to 990 technology companies in 2025, reflecting a net increase of 158 companies since the beginning of the year, showcasing the bank's role in supporting tech innovation [3]. - The bank has established a collaborative mechanism involving banks, exchanges, enterprises, and professional institutions to address challenges related to data asset valuation and financing [1][2]. - The bank utilizes blockchain technology to ensure data security during the asset valuation and pledge registration process [2]. Group 3: Regional Financial Initiatives - In 2025, Shaanxi introduced 50 measures to promote technology finance, aiming to support the transformation of technological achievements and address the financing difficulties faced by tech companies [3]. - The Shaanxi Provincial Science and Technology Innovation Fund was established with an initial scale of 10 billion yuan, focusing on strategic emerging industries and future industries [4]. - The fund has already approved investments in 12 sub-funds, with a total commitment of 5.7 billion yuan, indicating strong interest from top investment institutions [4]. Group 4: Overall Financial Growth - By the end of 2025, the balance of technology loans in Shaanxi reached 882.215 billion yuan, reflecting a growth of 12.41%, which is significantly higher than the average growth rate of other loans [5]. - The establishment of AIC pilot funds in the province has led to the launch of 9 funds with a total scale of 8 billion yuan, supporting small and micro technology companies [5].

Core Insights - Data has become an indispensable strategic resource for enterprises, often referred to as the "new oil" of business development. Efficient data collection, scientific analysis, and effective utilization are essential for driving decision-making, optimizing operations, and unlocking innovation [1] Group 1: Necessity of Data-Driven Management - The rapid development of IoT, big data, and AI is driving a comprehensive digital transformation in the global economy, resulting in massive data generation across all operational aspects of businesses [2] - Traditional management models relying on experience and intuition are becoming inadequate in the face of explosive data growth and rapidly changing market conditions, leading to slower responses and inaccurate judgments [2] Group 2: Core Elements of Data-Driven Management - **Data Resource Optimization**: Companies are shifting focus from merely pursuing advanced models to deeply optimizing their unique internal data resources, which are crucial for AI application and differentiated innovation [3] - **Technological Empowerment**: Advanced technologies like AI, machine learning, and big data analytics serve as the engine for data-driven management, enabling precise market trend predictions and operational insights [4] - **Talent Development**: There is a growing need for composite talents who understand both business and data, with positions like data scientists experiencing significant growth in demand [6] Group 3: Practical Pathways for Data-Driven Management - **Precision Decision-Making**: Companies should establish data-based decision-making mechanisms, integrating data analysis into strategic planning, market expansion, and product iteration [7] - **Process Optimization**: Businesses should utilize data to identify and eliminate redundant processes, enhancing efficiency in production, supply chain management, and financial operations [8] - **Risk Prevention**: A data risk warning system should be established to capture potential market, credit, and operational risks in real-time [9] - **Value Creation**: Companies need to leverage data as a core driver for innovation in business models and services, enhancing customer engagement and operational efficiency [10] Group 4: Challenges and Responses in Data-Driven Management - **Data Security and Privacy**: Companies must strengthen data security measures to prevent breaches and ensure compliance with legal regulations [11] - **Data Quality and Governance**: Establishing stringent data quality standards and governance frameworks is essential to avoid misleading decisions due to low-quality data [12] - **Technological Iteration and Talent Shortage**: Companies should invest in R&D and collaborate with educational institutions to keep pace with rapid technological advancements and address talent shortages [13] Group 5: Future Outlook for Data-Driven Management - The latest accounting standards require companies to recognize data resources as assets, marking a significant step towards data assetization. Several companies have begun to disclose the monetary value of their data resources [14] - The emergence of financialization cases for data assets indicates new financing channels for businesses, driven by technological advancements and regulatory frameworks [15] - Embracing a data culture and building core competitive capabilities will be crucial for companies to navigate the challenges and opportunities in the digital economy [16]

Group 1 - Nanjing Bank has successfully completed the first "Data Knowledge Loan" product in its system, marking the first dual pledge financing of "data intellectual property + data assets" in Jiangsu province, aimed at promoting the financialization of data assets [1] - Kaos Data Technology Co., Ltd. specializes in industrial IoT and has a solid foundation in data modeling and intellectual property, providing services such as equipment operation and industrial control [1] - The "Data Knowledge Loan" product allows technology-based SMEs with valuable and measurable data assets to convert these assets into low-cost credit funds, creating new financing pathways for innovative enterprises [1] Group 2 - Nanjing Bank has been innovating its financial services for technology enterprises, launching products like "R&D Pipeline Loan" in collaboration with a regional technology transfer center to address long-term funding needs for biopharmaceutical companies [2] - The bank has also established a "Loan-Equity Link" fund for technology talent, innovating cooperation models among government, banks, and parks to provide financing solutions [2] - As of November 2025, Nanjing Bank has served nearly 88,000 technology enterprises, providing over 860 billion yuan in funding, with more than 7,000 technology loan accounts in Nanjing and a loan balance of nearly 50 billion yuan [2]

Group 1 - The company announced a proposed acquisition of 55% stake in Nanjing Zerui Longxiang Supply Chain Management Co., Ltd, which is expected to generate synergies including cost benefits from streamlined operations, improved retained profits, and increased cross-selling opportunities between the group's catering business and food and beverage distribution segment [1] - Through the e-commerce platform "Zerui Longxiang AI Store" operated by Zerui Longxiang, the company will gain direct access to customer data and insights, enabling more precise marketing and product development [1] - The registration of Zerui Longxiang's data resources at the Shanghai Data Exchange marks a significant step in standardizing data management and application, unlocking data value, and innovating financing channels to alleviate funding pressure [1] Group 2 - Zerui Longxiang's first data product, "Zerui Longxiang E-commerce Consumer Behavior Insights," has successfully been listed on the Shanghai Data Exchange, which may help connect corporate data assets with financial market services, increasing financing channels and reducing capital costs [2] - The board believes that the new business initiatives will benefit the company and its shareholders by providing clear management of data resources, facilitating data sharing and collaboration, enabling the financialization of data assets, and promoting the establishment of a unified data element market [2] - The initiatives are expected to enhance the company's participation in the e-commerce industry, directly acquire user interaction data and market insights to optimize the supply chain, and create incremental data asset revenue streams to supplement existing catering and beverage distribution businesses [3]

Group 1 - The company announced a proposed acquisition of 55% stake in Nanjing Zerui Longxiang Supply Chain Management Co., Ltd, which is expected to generate synergies including cost benefits from streamlined operations, increased retained profits, and enhanced cross-selling opportunities between the group's catering business and food and beverage distribution segment [1] - Through the acquisition, the company will gain direct access to customer data and insights via the e-commerce platform "Zerui Longxiang AI Store," enabling more precise marketing and product development [1] - The company believes that the integration of Zerui Longxiang's data resources will standardize data management and application, activate data resources, unlock data value, and innovate financing channels to alleviate funding pressure, thus preserving and enhancing the value of the group's data assets [1] Group 2 - Zerui Longxiang's first data product, "Zerui Longxiang E-commerce Consumer Behavior Insights," has successfully been listed on the Shanghai Data Exchange, which may help connect corporate data assets with financial market services, increase financing channels, reduce funding costs, and accelerate transaction execution [2] - The board believes that the new business will benefit the company and its shareholders by providing clear management of data resources, facilitating data sharing and exchange, offering reliable bases for data asset evaluation and financing, and contributing to the establishment of a unified data element market [2] - The new initiatives are expected to enhance the company's participation in the e-commerce industry, directly acquire user interaction data and market insights to optimize the supply chain, and create incremental data asset revenue sources to supplement existing catering services and beverage distribution business, thereby positively contributing to revenue growth and profitability [3]

香 港 交易 及 結 算 所 有限 公 司 及 香港 聯 合 交 易 所有 限 公 司 對 本公 佈 的 內 容概 不 負 責， 對 其 準 確 性或 完 整 性 亦不 發 表 任 何 聲明 ， 並 明 確 表示 概 不 就 因本 公 佈 全部 或 任 何 部 分內 容 而 產 生或 因 依 賴 該 等內 容 而 引 致 的任 何 損 失 承擔 任何責任。 JIN MI FANG GROUP HOLDINGS LIMITED 今 米 房 集 團 控 股 有 限 公 司 （ 於開曼群島註冊成立的有限公司） （股份代號：8300） 自願性公佈 在上海數據交易所開展 數據資源綜合入表與數據產品掛牌 本 公 佈 由 今 米 房 集 團 控 股 有 限 公 司（「 本 公 司 」， 連 同 其 附 屬 公 司 ， 統 稱 為 「本集團」）自願作出，旨在讓本公司股東（「股東」）及潛在投資者知悉本集團 的最新業務發展。 – 2 – 因此，董事會認為，上述業務(i)提升本集團在電子商務行業的參與度，(ii) 可直接獲取用戶互動數據及市場洞見以優化供應鏈，及(iii)創造增量數據資 產 收 入來 源 ， 以 補 充本 集 團 ...