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彭博引入Similarweb网站流量数据,拓展另类数据服务版图
彭博Bloomberg· 2025-07-28 05:50
Core Insights - Bloomberg has expanded its alternative data capabilities by integrating Similarweb's website traffic data into its terminal, enhancing clients' ability to gain deeper business insights and make more informed investment decisions [1][2]. Group 1: Expansion of Data Coverage - The integration will double the number of companies covered in the Bloomberg terminal's {ALTD <GO>} function to over 3,000, including both public and private companies [1][2]. - The industry focus will be strengthened, particularly in sectors such as SaaS, e-commerce, artificial intelligence, streaming, technology media and telecommunications (TMT), and healthcare [2]. Group 2: Enhanced Data Insights - Similarweb's data will improve the tracking of key performance indicators (KPIs) for companies and support cross-validation of trends across different alternative data sets [3]. - The integration aims to create a multi-dimensional insight platform for investors, allowing them to observe company performance in relation to macro trends, thereby gaining a competitive edge in a volatile market [3].
自贸港封关在即,“借船出海”迎新机
Xin Hua Ri Bao· 2025-07-27 22:29
Group 1 - The Hainan Free Trade Port will officially start its full island closure operation on December 18 this year, creating a new engine for the development of an open economy in China [1] - Jiangsu's manufacturing industry, which ranks first in the country, is expected to benefit from the open policies of Hainan, including "zero tariffs" and "processing and value-added tax exemptions" [1][5] - The collaboration between Jiangsu and Hainan is exemplified by the "Nanjing R&D + Hainan transformation" model, which accelerates the introduction of international advanced pharmaceuticals into China [1][2] Group 2 - Jiangsu and Hainan have signed a series of cooperation agreements focusing on biomedicine, aiming to create a full industrial chain open innovation demonstration zone [2] - The strategic cooperation includes building a global data element circulation hub, integrating data industry advantages from Nanjing with Hainan's cross-border data flow policies [3][4] - The partnership aims to explore cross-border data processing and storage, supporting Jiangsu enterprises in utilizing Hainan's international data channels [4][6] Group 3 - Hainan's duty-free policy is attracting over ten million international tourists annually, becoming a new support point for Jiangsu's consumer goods to sell globally [3] - Jiangsu companies are leveraging Hainan as a regional distribution center, reducing logistics costs by 20% through the use of bonded warehouses [3][5] - The collaboration is expected to create a "digital silk road," enhancing the digital transformation of Jiangsu manufacturing and fostering innovative business models in cross-border e-commerce and digital content [5][6] Group 4 - The partnership will focus on building innovation platforms between universities and research institutions in both regions to tackle core technologies like blockchain and privacy computing [4][6] - There is an emphasis on creating a medical data security sharing platform to facilitate the cross-border flow of clinical trial and genetic sequencing data [6][7] - Jiangsu enterprises are encouraged to adapt to international competition through Hainan's pilot programs for high-standard trade rules [7]
“数据要素×交通运输——校企联合实验室成立专题交流会”在京举办
Ren Min Wang· 2025-07-26 00:10
Core Viewpoint - The establishment of the "Data Element × Transportation - University-Enterprise Joint Laboratory" aims to enhance the digital transformation of the transportation industry through collaboration between academia and industry, focusing on data utilization and innovation [1][3]. Group 1: Objectives and Goals - The joint laboratory is intended to promote the deep integration of data and transportation, aligning with the strategies of Digital China and a strong transportation nation, while also fostering new productive forces [3]. - The laboratory will serve as a platform for intelligent industry development and precise public service, leveraging the vast data resources and application scenarios within the transportation sector [3][4]. Group 2: Collaboration and Innovation - The collaboration involves Beijing University of Technology and Beijing Urban Science Research Institute, focusing on creating a trusted data space and facilitating the transformation of scientific achievements into practical applications [4]. - The laboratory aims to develop industry-specific models and big data collections for smart transportation management, addressing key areas such as the automotive aftermarket, smart logistics, and carbon reduction [4]. Group 3: Recommendations and Future Directions - Experts suggest enhancing the scenario-based application of data products to accelerate the release of transportation data value in industrial services and urban governance [5]. - The establishment of the laboratory is seen as a step towards achieving high-quality development through the deep integration of data elements and transportation [5].
释放数据要素价值,江苏省数字化协会成立数据资产专业委员会
Guo Ji Jin Rong Bao· 2025-07-25 13:35
Group 1 - The establishment of the Jiangsu Data Asset Professional Committee aims to promote the process of data assetization and support the high-quality development of the digital economy [1] - Jiangsu Province has made significant breakthroughs in market-oriented reform of data elements, integration of data and reality, and transformation of smart cities, but faces key bottlenecks in data asset confirmation, pricing, and circulation [3] - The committee is expected to act as a think tank to support government policy decisions, promote advanced industry cases, and build a platform for government-enterprise-academia-research collaboration [3][4] Group 2 - The committee's work will focus on exploring effective policy implementation, integrating resources, and promoting value innovation throughout the data asset process [4] - A new index called the "China Data Asset Ecological Intelligence Index" will be launched to activate data element potential and drive industrial transformation [4] - The emphasis will be on creating a new service system centered around standards, talent, activities, platforms, and industry self-discipline to support the healthy and sustainable development of the industry [4]
数据要素综合试验区建设取得积极进展
Xin Hua Wang· 2025-07-25 12:37
Group 1 - The National Data Bureau is actively promoting the construction of comprehensive data element pilot zones, supporting local areas in advancing key aspects such as data property rights and market ecology [1] - A total of 35 pilot tasks have been initiated, with positive progress reported in pilot zone construction in regions including Beijing, Anhui, Shandong, Hubei, and Guizhou [1] - The pilot zone construction is characterized by high-level promotion, broad mobilization, and a focus on local conditions to highlight unique pilot directions [1] Group 2 - Anhui Province has seen the emergence of leading data element enterprises, significantly contributing to the cultivation and development of the data element market [2] - The province is conducting pilot explorations of "data vouchers" and "computing power vouchers," and is actively exploring the valuation of state-owned enterprise data products for equity stakes [2] - The National Data Bureau plans to increase support for pilot zone construction, track evaluations, and promote mutual learning to achieve "local innovation and national reuse" [2]
建设国家数据要素综合试验区,各地进展如何?
Zhong Guo Xin Wen Wang· 2025-07-25 08:52
Core Insights - The National Data Bureau has announced the establishment of 10 national data element comprehensive pilot zones in various regions, including Beijing, Zhejiang, and Anhui, with progress being reported at a recent press conference [1][4] - Local governments are actively developing data infrastructure and integrating data elements with industries to unleash multiplier effects, achieving significant advancements [2][3] Group 1: Progress in Data Infrastructure - Beijing has developed six core capabilities, including intelligent retrieval and cross-chain interoperability, and has launched over 4,500 data products across 18 industry sectors [2] - Anhui has created seven specialized industry zones focusing on new energy, smart connected vehicles, and artificial intelligence, with 1,084 products launched and significant investment in data center clusters [2] - Hubei has innovatively allowed doctors to practice remotely, improving access to pathology services in county hospitals from 58% to 92%, resulting in substantial savings in medical costs [3] Group 2: Application and Impact - Shandong has implemented AI detection capabilities at 30% of highway monitoring points, achieving a 95% accuracy rate in event detection and significantly improving response times to incidents [3] - Guizhou is enhancing the tourism sector through data empowerment, utilizing AI to create personalized travel experiences and streamline services for tourists [3] - The National Data Bureau emphasizes the need for a combination of top-level design and practical experimentation to develop suitable institutional rules for the evolving data landscape [4]
国家数据局将及时评估试验区建设 实现“一地创新、全国复用”
Zhong Guo Xin Wen Wang· 2025-07-25 07:38
Core Viewpoint - The National Data Bureau is enhancing support for the construction of data element comprehensive pilot zones, promoting local innovation and nationwide replication of successful practices [1] Group 1: Pilot Zone Construction - The National Data Bureau is actively promoting the construction of data element comprehensive pilot zones, with a focus on eight key areas including data property rights and market ecology, aiming to implement 35 pilot tasks by 2025 [1] - The construction of pilot zones is progressing in an orderly manner, characterized by high-level promotion, broad mobilization, and tailored approaches to local conditions [1] Group 2: Local Initiatives and Innovations - Various regions such as Shandong, Henan, Guizhou, and Liaoning are exploring market-oriented allocation paths for data elements based on their unique regional characteristics and industrial advantages [2] - Beijing has developed a public data authorization operation model that serves over 60 financial institutions and 700,000 market entities, providing more than 400 million services [2] - Hubei has deployed AI systems and digital pathology scanning equipment in 170 hospitals, enabling local residents to access top-tier diagnostic services [2]
国家数据局召开推动地方数据集团创新发展专题座谈会
news flash· 2025-07-24 08:22
Core Viewpoint - The meeting organized by the National Data Bureau aims to promote the innovative development of local data groups and support the cultivation of a unified national data market [1] Group 1: Objectives and Focus - Local data groups are encouraged to focus on their main responsibilities and clarify their functional positioning to enhance service capabilities [1] - The emphasis is on expanding and strengthening data business operations [1] Group 2: Innovation and Industry Ecosystem - Local data groups are urged to play a leading role in innovation, taking bold steps to experiment and enrich the industry ecosystem [1] - The goal is to address challenges in data resource development and utilization under the guidance of data management departments [1] Group 3: High-Quality Data Construction - There is a call to strengthen the construction of high-quality industry data sets to support the development of artificial intelligence [1]
北京数据集团登记成立 注册资本30亿
news flash· 2025-07-24 07:54
Group 1 - Beijing Data Group Co., Ltd. has been established with a registered capital of 3 billion RMB [1] - The legal representative of the company is Guo Yonghao [1] - The company's business scope includes big data services, data processing services, data processing and storage support services, and investment activities using its own funds [1] Group 2 - The company is wholly owned by Beijing State-owned Assets Management Co., Ltd. [1]
2024-2000年上市公司企业数据资产化指数测算数据、数据资产词频数据
Sou Hu Cai Jing· 2025-07-24 05:22
Core Insights - The article discusses the calculation of the data assetization index for listed companies from 2000 to 2024, highlighting the methodology and the scope of the data collected [1][2]. Methodology - The calculation method is based on research from a top journal, utilizing annual reports from 1999 to 2024 to create panel data, which includes text length and a digital terminology dictionary [1]. - A total of 221 terms related to data assetization were identified, including both self-use and transaction-type data assets [1]. Data Scope - The dataset encompasses 68,000 samples from over 5,700 companies, providing original data frequency, video recordings of the process, and final calculation results for verification [1][2]. - The data is claimed to be 100% accurate and original, compiled by professional researchers without any profit motive [2]. Frequency Statistics - The total word count in annual reports has shown fluctuations over the years, with 70,402 words recorded in 2024, compared to 68,490 in 2023, indicating a growth trend [3]. - The data assetization index for 2024 is reported as 61, with previous years showing varying indices, such as 16 in 2023 and 90 in 2022 [3].