数据管理

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南沙获数据资产管理“国际通行证” 在市场监管领域迈出关键一步
Guang Zhou Ri Bao· 2025-09-07 01:39
Core Insights - The 2025 China International Big Data Industry Expo was held in Guiyang, Guizhou Province, where Nansha District Market Supervision Administration received the first international "ISO 55013 Data Asset Management System Certification" for a government department, marking a significant step in standardization, digitalization, and internationalization of market regulation [1][2] Group 1 - ISO 55013 is a core standard established by the International Organization for Standardization (ISO) for data asset management, serving as an "international passport" to measure an organization's data asset management capabilities [1] - Nansha District Market Supervision Administration aims to integrate international standards with frontline business scenarios to achieve innovative practices, focusing on "data empowerment for service and regulation" [1][2] Group 2 - Since 2022, Nansha District Market Supervision Administration has collaborated with Guangzhou Standardization Research Institute to initiate the development of international standards for data asset management [2] - The global first data asset management international standard ISO 55013 was released in Nansha in July 2023, covering the entire process of data definition, collection, storage, analysis, usage, and protection, providing a systematic tool for data quality management, security governance, and value realization [2]
激活数据潜能,赋能企业新未来——基于政策与实践的注册数据资产管理师之路
Sou Hu Cai Jing· 2025-09-01 04:27
Core Insights - The article emphasizes the importance of data as a core production factor in business operations, highlighting the need for effective integration and measurement of data resources to maximize their value [1][20] - The introduction of the "Data Twenty Articles" and the "Interim Regulations on Accounting Treatment of Enterprise Data Resources" provides clear policy guidance and operational frameworks for data asset management [1][20] Policy Framework - The "Data Twenty Articles" establishes the institutional foundation for the data factor market, clarifying data ownership, circulation rules, and security requirements, which are essential for the legal and compliant use of data resources [1] - The "Interim Regulations" further detail accounting treatment methods, ensuring that enterprises can scientifically and reasonably recognize, measure, and report data assets while adhering to accounting standards [1] Data Inventory and Assessment - Conducting a comprehensive data inventory is crucial for enterprises to identify the types of data they possess, where it is stored, and which teams manage it, allowing for precise delineation of data suitable for financial reporting [3] - The process of selecting valuable data for inclusion in financial statements is likened to gold mining, emphasizing the need for careful selection to ensure that only valuable data is reported [3] Ownership and Valuation Challenges - Data ownership remains a significant challenge due to historical reasons and cross-border complexities, necessitating industry guidelines to clarify rights and responsibilities [5] - Choosing appropriate valuation methods for data assets is critical, with cost, income, and market approaches each having specific applicability depending on the data's maturity and revenue generation potential [5] Measurement and Reporting - Once data is included in the balance sheet, ongoing measurement is essential, with inventory-type data requiring regular impairment testing and intangible data needing differentiated treatment based on its useful life [7] - Maintaining consistency in measurement methods is fundamental to ensuring the rigor of financial information [7] Risk Management in Data Asset Financing - When considering data assets for collateralized loans, risk management is paramount, with banks typically setting a collateral ratio not exceeding 50% of the assessed value and requiring compliance with registration procedures [9] - Selecting data with strong resilience to depreciation as collateral can effectively mitigate credit risk associated with rapid asset value decline [9] Asset Securitization Challenges - Asset securitization is a viable method for activating existing assets, but it faces challenges such as complex legal relationships, difficulties in cash flow forecasting, and a lack of historical default data [10] - Overcoming these challenges requires learning from successful domestic and international cases and continuous improvement of relevant laws and regulations [10] Strategic Importance of Data Asset Management - Successful inclusion of data assets in financial statements optimizes corporate financial structures, reduces debt ratios, and enhances asset turnover efficiency, particularly for asset-light technology companies [20] - Strengthening talent development through cross-training between IT and finance teams is essential for improving data asset management capabilities [20] - The process of data asset inclusion is a systematic project involving policy interpretation, resource organization, rights definition, value assessment, accounting treatment, and risk control [20]
How Will NetApp's Stock React To Its Upcoming Earnings?
Forbes· 2025-05-28 10:35
Group 1 - NetApp is expected to announce its fiscal fourth-quarter earnings on May 29, 2025, with anticipated earnings of $1.90 per share and revenue of $1.72 billion, reflecting a 35% year-over-year increase in earnings and a 3% rise in sales compared to the previous year [1] - The company forecasts full-year 2025 revenue between $6.49 billion and $6.64 billion, with a non-GAAP operating margin of approximately 28%-28.5%, leading to an adjusted EPS expectation of $7.17 to $7.27 [2] - NetApp's current market capitalization is $20 billion, with past twelve months revenue recorded at $6.5 billion, operational profitability of $1.4 billion in operating profits, and a net income of $1.1 billion [2] Group 2 - Historical data indicates that NTAP stock has risen 63% of the time following earnings announcements, with a median one-day increase of 4.4% and a maximum observed jump of 18% [1][4] - Over the last five years, there have been 19 earnings data points for NTAP, with 12 positive and 7 negative one-day returns, resulting in positive returns approximately 63% of the time [5] - The correlation between short-term and medium-term returns post-earnings can provide a strategy for traders, particularly if the 1D and 5D returns demonstrate a strong correlation [4][5]