青岛数据集团赵传启：推动数据作为生产要素参与社会分配

Core Insights - The "2025 China Enterprise Competitiveness Conference" was held in Beijing on December 9-10, showcasing the advancements of Qingdao Data Group in public data operations and its strategic business segments [3][6]. Group 1: Business Segments - Qingdao Data Group has developed four core business segments: data operation and service transactions, data industry investment, artificial intelligence model research, and data infrastructure construction [3][6]. - The data operation segment includes the establishment of a public data operation center, data asset registration and evaluation center, and a big data trading center [3][6]. Group 2: Public Data Operations - The group has integrated over 700 million data resources through social data collaboration, utilizing trusted data spaces and data hosting models for data fusion [3][6]. - Qingdao Data Group focuses on market demands by creating nine specialized areas, including finance, healthcare, marine, smart manufacturing, and electronic guarantees, supporting over 20 applications for various municipal departments [3][6]. Group 3: Data Asset Transformation - The company has established a national first data asset registration and evaluation center, promoting the "Qingdao Model" for data asset incorporation [4][7]. - The transformation of data resources into assets is facilitated through compliance reports, data property registration, value evaluation reports, and cost aggregation reports, a model adopted by over 50 cities nationwide [4][7]. Group 4: Capitalization and Industry Empowerment - Qingdao Data Group leads the establishment of the first national data asset securitization alliance, with a 2 billion yuan data asset securitization project currently applied for at the Shenzhen Stock Exchange, with plans for issuance at the Shanghai Stock Exchange [4][7]. - The group is also pioneering data asset equity practices, enabling data to participate in social distribution as a production factor, thereby allowing financial institutions to treat data as an asset [4][7].