Core Viewpoint - The forum highlighted the importance of data value realization for listed companies, presenting a comprehensive research report and ranking to guide industry development [1] Group 1: Data Value Realization Framework - The data value realization framework is divided into four dimensions: operational efficiency, management system, application value, and value-added potential [1] - Operational efficiency includes cost input, asset ratio, growth rate, and quality of information disclosure [1] - The management system encompasses team formation, data management platform establishment, data management capability enhancement, and data compliance and security [1] - Application value involves data trading, expansion of application scope, and innovative application practices [1] - Value-added potential covers digital investment intensity, data assetization progress, and effectiveness of digital transformation [1] Group 2: Stages of Data Value Realization - Data value realization progresses through four key stages: data resourceization, data productization, data assetization, and data capitalization [2] - Data resourceization focuses on the usability of raw data through deep processing and orderly collection [2] - Data productization aims to create usable and tradable products, emphasizing scenario applicability [2] - Data assetization confirms data resources or products as assets based on asset recognition standards, highlighting profitability [2] - Data capitalization leverages capital operations to achieve value appreciation, focusing on monetary aspects [2] Group 3: Characteristics of Top Companies - The top 100 companies in data value realization for 2024 exhibit two main characteristics: internal empowerment and external circulation [2] - Internal empowerment involves using data to drive innovation, optimize operations, and enhance decision-making, leading to sustainable development [2] - External circulation promotes data resource integration and sharing, breaking down information barriers and fostering industry collaboration [2] - The information industry shows exceptional performance in data value realization, with the top ten companies coming from information transmission, software, and IT services [3] - Leading companies demonstrate strong management capabilities, including dedicated data management departments and advanced data platforms [3] - Data value realization is not solely dependent on company size; specialized companies often achieve significant results through unique business models and operational characteristics [3] Group 4: Recommendations for Companies - Companies are advised to develop strategic planning for data value realization and enhance data asset operational efficiency [3] - Establishing a robust data asset management framework and improving data value release pathways are recommended [3] - Companies should also standardize data asset disclosure mechanisms and optimize data talent development systems [3]
数据新价值 市场新生态 |《上市公司数据价值化研究报告》发布 为行业发展提供参考与指引
Zheng Quan Ri Bao Wang·2025-06-20 12:57