二十届中央纪委四次全会强调，聚焦"全要素覆盖、全流程贯通、全领域标准、全系统共享"的目标要 求，全面推进纪检监察大数据资源中心建设、公权力大数据监督平台建设、纪检监察大数据办案中心建 设、纪检监察一体化工作平台建设、纪检监察科技装备建设。实践中，河南省周口市纪委监委积极推进 公权力大数据监督平台建设，聚焦获取监督数据、创建监督模型、严密内控机制等方面靶向发力，以大 数据信息化促进监督执纪执法提质增效，为正风反腐工作注入强大动能。 锻造专业队伍，激活信息科技动能。人才是信息化建设的第一资源，锻造高素质专业化队伍是大数据信 息化赋能正风反腐的根本保障。周口市纪委监委坚持把人才建设作为信息化发展的核心支撑，紧扣"业 务+技术"融合需求，建强"数字纪检监察"专业人才库，通过专题培训+实战练兵+轮岗交流等方式系统 开展专题培训，着力培育既懂监督执纪执法业务又擅长运用信息化技术的复合型人才，有效破解业务与 技术"两张皮"难题。针对县乡两级纪检监察机构信息化建设薄弱等问题，深入实施"数字赋能"行动，加 强对基层智慧监督平台一体化建设的指导，组织技术专家开展手把手实操教学、点对点精准帮扶，推动 信息化向基层延伸、向一线覆盖， ...

山东省各级纪检监察机关牢牢把握信息化服务保障监督执纪执法工作基本定位，将大数据信息化赋能作 为推进纪检监察工作规范化法治化正规化建设的重要抓手。省纪委监委印发实施数字纪检监察体系建设 五年规划，建强用好纪检监察大数据资源中心，建设公权力大数据监督平台和大数据办案平台等并持续 深化应用，建立大数据应用协调推进机制，凝聚大数据建设应用合力。 海量准确的数据是大数据赋能正风反腐的基础。实践中，该省纪委监委以持续深化纪检监察体制改革为 牵引，构建起纪检监察机关与审计、统计、财会、税务等其他监督主体监督贯通协调制度体系，有效整 合省公共资源交易中心、12345便民热线等20余家单位监督数据349项，为正风反腐提供有力数据支撑。 济南市纪委监委结合专项监督，选定涉企行政执法管理等16个领域数字监督"小切口"，构建69个分析模 型。德州市纪委监委统筹县（市、区）分别选取2-3个项目建设数据模型，成熟后纳入该市数据监督模 型库共享共用。从黄河重大国家战略专项监督到护航优化营商环境专项行动，再到群众身边不正之风和 腐败问题集中整治……对标党中央重大决策部署和中央纪委国家监委关于反腐败重点工作安排，围绕招 标投标、行政执法等八大 ...

Core Insights - The article discusses the application of big data technology in combating corruption and enhancing the efficiency of disciplinary inspection and supervision in Wuzhou, Guangxi [2][3]. Group 1: Implementation of Big Data in Anti-Corruption - Wuzhou's disciplinary inspection and supervision commission has utilized big data analysis to identify irregularities in vehicle inspection agencies, revealing potential collusion between public officials and these agencies [2]. - The commission has established a big data supervision working group to enhance data modeling and analysis, ensuring a precise connection between technology and supervision [3][4]. - The use of big data has led to the identification of key evidence in cases involving high-ranking officials, such as the former chairman of a county investment company, facilitating the investigation process [3][5]. Group 2: Case Studies and Outcomes - In the investigation of a former deputy director of the emergency management bureau, big data analysis helped uncover hidden bribery practices, leading to the official's expulsion from the party and legal consequences [5]. - The commission has shifted from single data analysis to comprehensive data analysis for case handling, demonstrating a proactive approach in utilizing data for broader investigations [4][5]. - Continuous training and capacity building for disciplinary inspection personnel in digital literacy are emphasized to enhance their practical application of big data in investigations [5].

Group 1 - Shandong Province's Jining City Rencheng District has established a big data disciplinary enforcement support center to enhance the use of supervision platforms and "cloud workstation" big data case handling platforms for precise problem detection [3] - Henan Province's Zhoukou City Shangshui County is deepening the application of digital technology to integrate it into various disciplinary inspection and supervision tasks [5] - Jiangxi Province's Ningdu County is focusing on key areas with concentrated funds and resources, utilizing data correlation, cross-comparison, and collision analysis to improve the precision and timeliness of problem detection [8] Group 2 - Guangxi Zhuang Autonomous Region's Liucheng County is constructing a "big data + disciplinary inspection" model to promote deep collaboration among functional departments, using a smart supervision model for grain planting to collect and analyze information [11] - Yunnan Province's Kunming City Xundian County is leveraging a smart management service platform to integrate information data resources from various departments, employing big data technology for precise screening, analysis, and targeted treatment of prominent issues in the livelihood sector [14]

Core Insights - The article emphasizes the integration of big data technology in enhancing supervision and anti-corruption efforts within the Chinese governance framework, particularly in the financial sector [3][4][13]. Group 1: Big Data Utilization in Supervision - Wuhan's financial oversight bodies are employing big data analysis to conduct thorough investigations into complex financial transactions involving multiple parties and significant amounts [3]. - The use of big data models has led to the identification of fraudulent activities, such as a case involving a nursing home that misappropriated state pension funds, resulting in criminal charges against involved individuals [3][4]. - The city has seen a significant increase in the application of big data models across various sectors, including rural finance, healthcare funds, and enterprise law enforcement [4][10]. Group 2: Case Studies and Practical Applications - Newzhou District's investigation into a union's misuse of medical assistance funds was expedited by a big data model that sifted through over 1 million records to identify fraudulent claims [5]. - The establishment of a "digital canteen" monitoring platform for schools aims to enhance transparency in school meal funding and procurement processes, utilizing big data models to detect anomalies [11]. - The integration of big data models in the healthcare sector has led to the identification of over 200,000 suspicious data points related to potential violations, facilitating corrective actions [10]. Group 3: Systematic Approach to Data Management - The article discusses the need for a comprehensive data-sharing platform that integrates resources from various departments, enhancing the effectiveness of big data supervision [14][15]. - A focus on training and developing personnel skilled in data analysis and application is crucial for improving the capabilities of supervisory bodies [15]. - The establishment of a closed-loop management mechanism is highlighted as essential for ensuring effective governance and accountability across different sectors [10].

Group 1 - The core viewpoint emphasizes the importance of enhancing supervision capabilities through big data analysis to identify corruption and misconduct effectively [1][2][3] - The establishment of a big data supervision platform is highlighted as a key initiative to promote standardized and legalized disciplinary inspection and supervision work [1] - The integration of data resources among various departments is crucial for improving governance and ensuring collaborative supervision rather than isolated efforts [1] Group 2 - The creation of a big data case handling center aims to address new and hidden forms of corruption by utilizing advanced data analysis and artificial intelligence techniques [2] - Training programs for personnel in big data analysis and technology application are essential for enhancing the capacity to conduct preliminary investigations effectively [2] - The use of the "Ganxintong" data analysis system is emphasized to strengthen data analysis capabilities and improve the identification of new types of corruption [2] Group 3 - The implementation of a "data closed loop" is necessary to ensure comprehensive governance, allowing for the identification of potential risks and weaknesses in power operations [3] - A closed-loop governance chain is proposed to enhance the process of discovering, reporting, rectifying, and providing feedback on issues identified through data analysis [3] - Emphasis is placed on maintaining data security and compliance through strict supervision and approval processes for data usage [3]

Core Viewpoint - The integration of big data and technology in anti-corruption efforts is a key task for the Central Commission for Discipline Inspection, aiming to enhance supervision effectiveness by 2025 [1] Group 1: Digital Supervision System Development - The Yangtze River Water Resources Commission is implementing a "Digital Twin Yangtze" supervision system, incorporating a collaborative supervision big data platform for financial and audit oversight [1] - The system development follows a "build while using, rolling optimization" principle, with initial modules for discipline supervision, inspection, financial supervision, and audit supervision completed [1] - Seven affiliated enterprises are participating in pilot projects, focusing on project management, contract management, and financial supervision [1] Group 2: Implementation of Financial Supervision System - The financial supervision system for the Lushui Reservoir reinforcement project has been officially launched, marking a significant step in implementing the Yangtze River Water Resources Commission's directives [2] - The system has successfully integrated and verified historical payment data for 82 transactions, streamlining the approval process to ensure traceability and transparency [2] - It covers eight core business areas, enhancing financial supervision and breaking down information barriers between financial and operational oversight [2] Group 3: Enhanced Supervision Mechanisms - The system establishes a comprehensive supervision framework that enhances precision and timeliness through a closed-loop monitoring approach [3] - It integrates multi-source data to create a dynamic visualization of project investment and execution, addressing traditional management issues [3] - An intelligent early warning mechanism is embedded to preemptively identify risks related to budget overruns and contract violations, shifting the focus from post-audit to proactive supervision [3]

Group 1 - The core viewpoint emphasizes that self-revolution is a crucial answer for the party to break free from historical cycles of disorder and prosperity, with a focus on strict governance and improving work styles as key experiences in the new era [2][3] - The construction of work styles is considered a significant political issue and an essential part of the party's overall construction, with a long-term commitment to strict governance [3] - The implementation of the Central Eight Regulations has led to significant improvements in party conduct and public trust, with a focus on addressing long-standing issues and enhancing party discipline [3][4] Group 2 - The article highlights the need for targeted problem identification and the importance of strengthening disciplinary awareness to effectively address issues related to work styles [4][5] - It discusses the use of technology and big data to enhance the effectiveness of supervision and to combat issues like corruption and waste [5][6] - Encouraging public participation in monitoring party conduct is emphasized as a way to leverage community oversight and address hidden issues [5][6] Group 3 - The necessity for practical rectification and the establishment of long-term mechanisms for work style improvement is underscored, with a focus on continuous monitoring and adjustment [6][7] - The article suggests a comprehensive evaluation system for rectification efforts, moving beyond mere quantitative assessments to include qualitative measures [7] - It calls for a dynamic optimization of the regulatory framework to address ambiguities and ensure effective implementation of the Central Eight Regulations [7]

Group 1 - The article emphasizes the integration of big data and information technology in enhancing the effectiveness of anti-corruption efforts and improving case handling efficiency [1][2] - The use of big data models has significantly improved the efficiency of information collection and the effectiveness of supervision and law enforcement [1][2] - The article highlights specific cases where data-driven approaches successfully identified corruption and misconduct, such as in the cases of Liu and Kuo [1][2][3] Group 2 - The establishment of a sunshine procurement supervision model in Nanning has enabled deep analysis of bidding processes, helping to identify corruption and misconduct in the procurement sector [2] - The article discusses the importance of data transparency and traceability in managing procurement processes, as demonstrated by the case of China FAW Group [3] - The implementation of strict management measures for public vehicle usage has led to a significant reduction in fuel consumption and misuse, with a 67% decrease in warning information and a 45.8% reduction in fuel consumption for sanitation vehicles [5]

Core Insights - The articles emphasize the integration of big data and information technology in enhancing anti-corruption efforts and improving supervision efficiency in local governance [3][4][5][6][10]. Group 1: Implementation of Big Data in Supervision - Local governments are actively utilizing big data to enhance the transparency and efficiency of supervision, focusing on specific areas such as public funds management and project oversight [4][5][6]. - The establishment of digital supervision platforms allows for real-time data analysis and monitoring, which aids in identifying potential corruption and misconduct [5][9][10]. - Various localities have developed specific data models to address common corruption issues, such as misuse of public funds and irregularities in procurement processes [9][10][12]. Group 2: Collaborative Efforts and Systematic Reforms - There is a strong emphasis on breaking down information silos and enhancing collaboration among different departments to improve the overall effectiveness of supervision [6][11][12]. - The articles highlight the need for a systematic overhaul of supervision methods, integrating technology with traditional oversight practices to create a more robust governance framework [5][10][12]. - Local governments are encouraged to adopt a holistic approach that combines data-driven insights with proactive measures to prevent corruption before it occurs [11][13]. Group 3: Focus on Specific Areas of Concern - Key areas of focus include the management of public funds, procurement processes, and the supervision of local projects, with a particular emphasis on addressing issues that directly affect the public [6][7][10]. - The articles discuss the importance of targeting specific sectors, such as education and rural revitalization, to ensure that resources are used effectively and transparently [10][11][12]. - The integration of AI and advanced data analytics is seen as a crucial step in enhancing the precision and effectiveness of supervision efforts [12][13].