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]

"利用'三重一大'专项监督系统，不仅能从海量数据信息中及时精准发现问题，还能通过预警信息循线 核查违规违纪违法行为。"赣州市纪委监委有关负责同志介绍。 赣州市纪委监委指导南康区纪委监委探索建立基层小微权力运行管理系统，设置印章管理、务工管理、 采购管理、资产资源、工程管理、补助救助等6个高频事项以及乡村治理、资金报账2个特色事项管理模 块，形成集报账支付、产权交易、信息公开、监测预警等功能于一体的智慧监管平台。市纪委监委推动 该系统与省农村集体"三资"监管网络平台互联互通，实时共享交换全区19个乡镇村（社区）的集体"三 资"数据，实现农村集体"三资"使用处置全过程管控并留痕。 南康区纪委监委还紧盯资金使用、资产出租、工程建设、服务采购等关键行权环节，建立多个智慧监督 模型，对关键信息进行自动分析。同时，在该系统增加在线监督功能，进一步拓展群众参与监督的路 径，群众可随时登录系统查询村（社区）集体"三资"信息及使用情况，发现问题直接反映。 此外，为提升纪检监察干部信息技术专业素养，赣州市纪委监委还组建全市信息分析人才库，围绕大数 据应用、电子数据取证等内容，强化实践锻炼和专业训练，常态化开展模拟演练和案例复盘。 ...

Group 1 - The article discusses the identification of irregularities in subsidy distribution among village officials in Guangxi, where officials received flexible employment subsidies while already receiving fixed salaries, which is considered a violation of regulations [1] - The local disciplinary inspection and supervision commission established a cross-departmental data collaboration mechanism, utilizing big data technology to create an automated analysis model that identified 36 abnormal cases, leading to the investigation of 32 officials and the recovery of 190,000 yuan [1] - The commission has developed a comprehensive smart supervision system that includes full data collection, intelligent analysis modeling, dynamic risk warning, and feedback mechanisms, aimed at breaking down data silos across departments [1] Group 2 - The supervision platform is described as an "electronic eye" for monitoring, featuring 19 intelligent analysis models that enable real-time data mining and multi-dimensional comparative analysis for dynamic risk warning [2] - An intelligent distribution system has been established to classify and process issues based on risk assessment models, allowing for automated flow of leads to different supervisory levels, enhancing the efficiency of investigations [2] - The platform has identified 8,868 suspicious leads and recovered economic losses amounting to 380 million yuan, demonstrating its effectiveness in monitoring and risk management [2]

Group 1 - The article highlights the discovery of a village party secretary's violation in renting out collective village factory buildings, leading to a party warning sanction [1] - The Jinhua City Discipline Inspection Commission is enhancing grassroots supervision through big data, focusing on the management of rural collective "three assets" and promoting data sharing between systems for real-time risk warnings and transparent management [1] - A total of 1,280 red alerts and 554 problem clues have been generated this year through data screening and comparison, resulting in 66 cases being filed [1] Group 2 - The article emphasizes the importance of standardized contract signing in managing rural collective "three assets" to protect collective interests, addressing issues like incomplete clauses and ineffective supervision [2] - The integration of financial transparency through a management platform allows villagers to see every transaction clearly, boosting confidence in local governance [2] - The Jinhua City Discipline Inspection Commission is working with relevant departments to enhance the development and operation of strong village companies as part of the special rectification of rural collective "three assets" management [2] Group 3 - The city employs collaborative supervision methods such as "inspection and discipline linkage" to target issues in rural collective "three assets" management, with a focus on major village affairs and economic activities [3] - The implementation of a "supervision index" for inspections covers 38 types of village-level affairs, leading to the identification of over 130 issues and recovering more than 12 million yuan in economic losses [3]

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]

Group 1 - The core viewpoint emphasizes the integration of big data and information technology to enhance anti-corruption efforts and improve the quality of disciplinary inspection and supervision in Linyi City, Shandong Province [1][2][3] Group 2 - The construction of a digital disciplinary inspection and supervision system is supported by a data center that integrates 329 data sources, collecting 350 million data entries from various public resources and internal business data [1][2] - The platform development focuses on enhancing political, special, daily, and grassroots supervision, with tools like a political ecology monitoring platform and a big data supervision warning platform [2][3] Group 3 - The emphasis on intelligent supervision aims to counter increasingly covert corruption methods by utilizing a "cloud workstation" big data case handling platform and developing 90 analytical methods for supervision and investigation [3][4] - Professional development is prioritized, with training sessions and workshops aimed at improving the ability of disciplinary inspection personnel to effectively use big data in their work [3][4]

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].