据贵州省纪委监委网站2月14日消息，经贵州省委批准，贵州省纪委监委对原云上贵州大数据(集团)有 限公司党委书记、董事长徐昊严重违纪违法问题进行了立案审查调查。 集团聚焦政务服务、企业服务、IDC服务，为贵州省"一云一网一平台"建设、大数据与实体经济深度融 合发展提供服务支撑。目前，已建成全国首个省级政府数据聚集、共享、开放的平台——云上贵州系统 平台；通过参与全球大数据资源配置，抢占发展新空间，成为苹果公司在中国大陆运营iCloud服务的唯 一合作伙伴。 据贵州日报，徐昊，男，汉族，1968年9月出生，浙江宁波人，1987年11月加入中国共产党，1990年7月 参加工作，大学学历，经济学学士。 据贵州省人民政府官网消息，2023年12月，徐昊被推荐为云上贵州大数据（集团）有限公司董事、董事 长人选。 经查，徐昊丧失理想信念，背弃初心使命，无视中央八项规定精神，盲目铺摊子、上项目，搞劳民伤财 的"政绩工程"，致使国家利益遭受重大损失、收受可能影响公正执行公务的礼品、接受可能影响公正执 行公务的宴请；不正确履行职责；违反国家法律法规，构成职务违法；贪欲膨胀，大搞权钱交易，利用 职务便利为他人在项目承接、组建公司、 ...

天眼查App显示，近日，内蒙古大数据产业发展集团有限公司发生工商变更，注册资本由8亿人民币增 至11亿人民币，增幅37.5%。 该公司成立于2017年1月，法定代表人为王刚，经营范围包括安全评价业务、第一类增值电信业务、第 二类增值电信业务、大数据服务等，由呼和浩特市国有资产监督管理委员会全资持股。 ...

新年伊始，企查查大数据研究院收到了来自工信部旗下中国互联网络信息中心（CNNIC）的感谢信。 信中对企查查大数据研究院在中国互联网络信息中心的《中国互联网发展状况统计报告》等研究成果 中，为其提供专业、可靠的数据服务支持，帮助记录我国互联网发展脉络，表示高度认可和衷心感谢。 （原标题：专业数据获认可：企查查大数据研究院获中国互联网络信息中心感谢信） 作为国内领先的商业大数据服务商，企查查采用数据挖掘、数据建模、行业标准定义和可视化分析技 术，为用户提供多维度可信商业数据支持。同时，依托超强的研发实力，深耕高质量商业信用数据的开 发与利用，研发"数据即服务"、"模型即服务"等创新产品及全新业态。 基于企查查海量商业数据，企查查大数据研究院长期专注于国内企业投资动向研究、新兴产业发展跟 踪、城市新经济布局剖析，积极与行业协会、高校等非盈利机构合作，共同推动数据的开放和共享，让 更多的人能够获取到有价值的数据和信息。2025年，企查查大数据研究院已研究发布百余篇行业数据分 析内容，涵盖低空经济、商业航天、芯片半导体、人工智能、银发经济等众多领域，为我国产业发展提 供普惠性数据报告，助力产业决策优化，引导产业升级。 ...

Core Insights - The province's initiatives "Data-Driven Multi-Check Reform" and "AI + Key Population Health Management Services" have been selected as part of the fourth batch of national public data demonstration scenarios [1][2] Group 1: Data-Driven Multi-Check Reform - The initiative aims to resolve issues of multiple and redundant inspections by establishing a unified administrative inspection data standard and process [1] - It focuses on creating a closed-loop inspection system that includes various types of checks such as joint and supervisory inspections, contributing to a more regulated and fair business environment [1] Group 2: AI + Key Population Health Management Services - This initiative targets grassroots public health service needs, utilizing advanced technologies like medical large models to serve key demographics such as children, adolescents, and pregnant women [1] - It aims to enhance public health services through intelligent health risk assessments, automated intervention plans, and precise outreach, making health management more accurate and efficient [1] Group 3: Overall Data Strategy - The province has been implementing the national data bureau's public data demonstration scenario construction since last year, focusing on innovation in public services and sectors like AI and low-altitude economy [2] - A long-term management mechanism has been established for the demonstration scenarios, with a focus on project selection based on three development models: government data sharing, public data openness, and authorized public data operation [2] - As of now, eight scenarios, including those related to low-altitude economy and AI health management, have been selected as national public data demonstration scenarios, placing the province among the top in the country [2] - The province aims to enhance the data infrastructure and release the value of public data resources, stimulating supply and usage across society [2]

Core Insights - The article discusses the challenges faced by companies in leveraging social media data due to information overload and fragmentation, highlighting the emergence of data aggregation platforms like Shushuo to convert vast amounts of data into actionable business insights. Group 1: Challenges Faced by Companies - Data fragmentation makes it difficult for companies to obtain a complete view of user feedback, as comments may be scattered across various platforms like Weibo, Douyin, and Xiaohongshu [2] - Information overload complicates the ability to focus on relevant data, as social media generates vast amounts of content daily, including genuine user feedback mixed with advertisements and irrelevant comments [2] - Response delays can lead to missed opportunities, as traditional data collection and analysis processes may take days, while trending topics may only have a short window for effective engagement [2] Group 2: Shushuo Aggregation Platform - Shushuo provides comprehensive data coverage across eight categories, including major social media platforms, enabling quick task creation and data retrieval to enhance efficiency and flexibility in data processing [3] - The platform integrates multi-modal AI models and proprietary NLP semantic analysis technology, utilizing over 50 algorithms for data tagging, noise cleaning, and sentiment analysis, transforming raw data into insights for marketing decisions [5] - Shushuo allows data export in Excel/CSV formats and offers professional API interfaces for internal system integration, featuring visual dashboards and various intelligent chart analyses for clearer data representation [8] Group 3: Key Elements for Utilizing Social Media Data - Companies must define clear business objectives, as different goals require distinct data dimensions and analytical methods [10] - Establishing departmental collaboration is essential for ensuring that data insights lead to actionable steps across the organization [10] - Continuous optimization and iteration of data strategies are necessary to adapt to business developments and market changes [10]

Group 1 - Daily Interaction's stock price increased by 5.39%, reaching 36.77 CNY per share, with a trading volume of 733 million CNY and a turnover rate of 5.75%, resulting in a total market capitalization of 14.515 billion CNY [1] - Daily Interaction Co., Ltd. is based in Hangzhou, Zhejiang Province, established on December 7, 2010, and listed on March 25, 2019. The company specializes in big data-based mobile internet comprehensive services, primarily providing technical services for mobile application developers, mobile internet marketing services for advertisers, and data services for other vertical clients [1] - The revenue composition of Daily Interaction includes 86.32% from data services, 11.06% from developer services, and 2.62% from other sources [1] Group 2 - Southern Fund's Southern CSI 2000 ETF (159531) holds Daily Interaction as its third-largest position, having reduced its holdings by 3,200 shares in the third quarter, now owning 31,100 shares, which represents 0.25% of the fund's net value [2] - The Southern CSI 2000 ETF was established on September 7, 2023, with a current size of 543 million CNY. Year-to-date returns are 3.45%, ranking 3182 out of 5493 in its category; over the past year, returns are 48.9%, ranking 1211 out of 4197; and since inception, returns are 44.11% [2] Group 3 - The fund manager of Southern CSI 2000 ETF is Li Jialiang, who has been in the position for 9 years and 159 days, managing total assets of 9.632 billion CNY. The best fund return during his tenure is 163.15%, while the worst return is -29.58% [3]

Core Insights - The establishment of a comprehensive "urban brain" in Guiyang is essential for overcoming previous digital standard discrepancies and breaking down "data barriers" among various departments [2] - The Guiyang Urban Operation Center has integrated platforms from 66 units, over 200 systems, and more than 200 million data resources, functioning as a central hub for data management and urban governance [2] - The application scenarios of the Guiyang Urban Operation Center extend to seven major areas, providing a replicable model for building a convenient, efficient, safe, and livable "smart city" [3] Group 1 - The Guiyang North Station has implemented an intelligent dispatch system that utilizes real-time data to manage traffic flow effectively, enhancing the experience for both passengers and drivers [1] - The integration of various digital platforms has improved social governance efficiency, although initial challenges included "data barriers" that hindered inter-departmental data sharing [1][2] - The Urban Operation Center has established a closed-loop management system that includes monitoring, analysis, and implementation, addressing both minor public concerns and major urban management issues [2] Group 2 - The Guiyang Urban Operation Center is transitioning from a "capable" to an "intelligent" operational model by leveraging AI applications, enhancing decision-making capabilities in urban governance [2] - The center's functions include emergency command, decision support, and public sentiment analysis, allowing for a one-stop solution for urban management [2] - The comprehensive solutions and product systems developed by the Guiyang Urban Operation Center are aimed at promoting a high-quality urban living environment and can be replicated in other cities [3]

Core Viewpoint - The Shandong Provincial Department of Industry and Information Technology has announced the 2025 "Three Excellence and Two Heavy" project list, recognizing Inspur Smart City as a key data factory and awarding its "Smart Empowerment of Linyi's Industrial Chain Precision Investment Promotion Application Case" as an excellent big data application case for 2025 [1][4]. Group 1: Project Recognition - Inspur Smart City has been selected for the 2025 Shandong Province Key Data Factory list, highlighting its strong innovation capabilities and practical achievements in the big data field [1][4]. - The "Three Excellence and Two Heavy" project evaluation aims to select benchmark projects and cases with significant demonstration effects in the big data sector, fostering enterprises with international competitive advantages [1][5]. Group 2: Digital Transformation and Data Management - As a leading service provider for urban digital transformation, Inspur Smart City implements the national action plan for comprehensive digital transformation, focusing on establishing a robust urban data foundation [2][6]. - The company has developed the "Inspur Galaxy Big Data Asset Platform," which offers full lifecycle management services for urban data assets, facilitating efficient sharing and utilization of data resources across departments and regions [2][6]. Group 3: Intelligent Investment Promotion System - In the digital investment promotion sector, Inspur Smart City has built a comprehensive intelligent investment promotion system for Linyi, integrating data from over 120 million enterprises and 5 billion business behavior records [3][7]. - The system has improved enterprise matching accuracy by 48% and enhanced industrial analysis efficiency by over 60%, supporting the signing of over 4,500 projects and promoting a data-driven investment promotion model [3][7]. Group 4: Future Directions - The recognition as a key data factory is seen as validation of Inspur Smart City's technological capabilities and practical results in the big data domain, with plans to further enhance data-driven urban governance and industrial upgrades [3][7].

Core Viewpoint - The online discourse surrounding China's economy has intensified, with over 20 million pieces of content generated in the last 30 days, reflecting a mix of rational and emotional narratives about economic conditions [1][3]. Group 1: Economic Discourse Analysis - The volume of online content related to the economy has surged, with significant discussions around keywords like "economy," "market," and "data," indicating heightened public interest [1]. - Content can be categorized into two distinct styles: rational information that relies on facts and official statistics, and emotional narratives that create a sense of urgency and crisis [3][6]. - Emotional content tends to spread faster, especially when it includes visuals and short videos, increasing its dissemination speed by 3 to 5 times compared to standard informational content [3]. Group 2: Data Reliability Concerns - Many widely circulated economic data points are found to be misleading due to "algorithmic selection," where the data presented does not accurately reflect the official statistics [6][10]. - An example includes a claim that China's GDP growth rate for Q2 2023 was only 3.2%, which contradicts the official figure of 6.3%, highlighting the potential for public misinterpretation [6][8]. - A popular consumption chart claiming that women's monthly spending is nearly double that of men was found to be inconsistent with official income data, raising questions about its validity [10]. Group 3: Sources of Economic Content - Approximately 20% of the economic content originates from official sources like statistical departments and mainstream media, while the majority comes from non-official channels, complicating the assessment of credibility [11]. - Many accounts disseminating emotional content are newly created or frequently change their identities, often lacking transparency about their data sources [11]. - Some accounts appear to have monetization strategies, using emotional narratives to drive traffic towards paid services or products [11].

Group 1 - The core viewpoint of the article is that Qichacha Technology Co., Ltd. has disclosed its first-round inquiry response for its IPO application on the Shanghai Stock Exchange, aiming to raise approximately 1.5 billion yuan [1] - Qichacha is a professional commercial big data service provider focused on delivering accurate, efficient, and convenient business data services to help users quickly understand various commercial entities' credit, risks, opportunities, and information [1] - The company’s IPO was accepted on October 10, 2025, and entered the inquiry stage on October 29 of the same year [1] Group 2 - The first-round inquiry letter raised questions regarding Qichacha's products and technology, sales and customers, as well as cost and gross margin [1]