今年10月，中央纪委国家监委驻中国石油纪检监察组对4家下属企业开展纠治"四风"监督检查。通过数 智模型筛查发现，某单位存在"同一部门同一人员高频报销""住宿地点与实际不符"等异常情况。最终查 实该单位有关负责人套取资金用于违规接待等问题。目前，相关涉案人员已受到党纪处分，并收缴违纪 款1.1万余元。 中央纪委国家监委网站 陆丽环 转自：中央纪委国家监委网站 充分发挥大数据发现挖掘、分析预警问题线索的作用，实现趋势走向精准研判、规律特点及时把握。 中央纪委国家监委驻中国电信纪检监察组建成监督贯通协同数字化平台，实现与其他领域业务监管系统 的对接。如，推动财务部门持续迭代虚假贸易风险识别模型，实现对客情掌握、谈判应标自主、采购自 主等6个方面15个风险点的实时监督，有效预防虚假业务，严格规范列支。 各派驻中管企业纪检监察组围绕办案应用场景，聚焦数据整理难、关联信息排查难、搜索查询难、快速 锁定突破点难等难题，探索开发常见问题分析等模型，通过对多重数据的关联分析，为查清查透职务犯 罪安上科技"透视镜"。 驻中国电信纪检监察组自研数据治理引擎，节省数据整理时间的同时，关联包括主要社会关系和"经济 往来"等在内的多维数 ...

Core Insights - The article discusses the implementation of a big data supervision model by the Jiangyang District Commission for Discipline Inspection and Supervision in Luzhou, Sichuan Province, to identify irregularities in agricultural insurance fund distribution [1][2] - The use of big data has enabled quicker identification of issues, such as the case of a village official misappropriating agricultural insurance subsidies [1] - The initiative aims to ensure that agricultural subsidies reach the intended beneficiaries, thereby enhancing the effectiveness of policies aimed at improving people's livelihoods [1] Group 1 - The Jiangyang District's Commission has developed a big data supervision platform to analyze agricultural insurance fund distribution, leading to the identification of anomalies [1] - A specific case was highlighted where a village official was found to have misappropriated funds, resulting in disciplinary action and full recovery of the misused funds [1] - The platform employs 16 data supervision models focusing on various subsidy types, allowing for efficient detection of potential issues through data analysis and alerts [1] Group 2 - The Commission emphasizes the importance of data integration for effective supervision, following principles of integrated management and secure data sharing [2] - Custom supervision models are created based on specific needs, enabling real-time tracking and analysis of subsidy distribution, including identifying cases of fraud or unclaimed benefits [2] - The approach includes forming investigation teams to verify strong leads and systematically analyzing related information to prevent future risks in subsidy management [2]

Core Insights - The article highlights the effective use of big data in monitoring agricultural subsidies, leading to quicker resolution of issues compared to traditional methods [1][2] - The establishment of a data-sharing mechanism among various departments is emphasized as a key strategy for enhancing supervision and addressing public concerns [2] Group 1: Big Data Supervision - The "Big Data Supervision Model" for agricultural subsidies enabled the rapid identification and resolution of irregularities, such as duplicate or excessive subsidy claims, within two weeks [1] - The model integrates data from multiple sources, allowing for proactive monitoring and timely intervention in cases of subsidy mismanagement [2] Group 2: Community Impact - The implementation of the "Unclaimed Senior Subsidy Monitoring Model" has resulted in improved communication with residents, ensuring that eligible individuals receive benefits without needing to apply [2] - Feedback from the community indicates a positive reception of the proactive measures taken by the supervisory body, enhancing public trust [2] Group 3: Continuous Improvement - The supervisory body is committed to ongoing enhancement of the big data supervision system, focusing on leveraging technology to improve efficiency and effectiveness in monitoring [3]

Core Insights - The integration of big data in anti-corruption efforts is enhancing the efficiency and effectiveness of supervisory work in Henan Province [1][2][3] - Various local governments are developing and implementing big data supervision platforms to improve data processing and regulatory compliance [2][4] - Training programs are being established to enhance the big data analytical skills of disciplinary inspection and supervision personnel [3][4] Group 1: Big Data Utilization - The use of big data supervision models has significantly improved the efficiency of identifying key evidence in financial investigations [1] - The transition from "information silos" to "data clusters" allows for better integration of various data elements, providing a rich data resource for supervisory agencies [1] - The establishment of a comprehensive digital disciplinary inspection system aims to create an integrated smart platform covering all elements, processes, fields, and systems [1] Group 2: Local Innovations - The Anyang Municipal Commission for Discipline Inspection has launched a big data supervision platform focused on building a knowledge base and enhancing data processing efficiency [2] - The Jinshui District's smart supervision platform updates personnel integrity files and performance information dynamically, ensuring accurate oversight [2] - The implementation of online supervision for public reception activities has standardized processes and reduced burdens on grassroots organizations [2] Group 3: Training and Capacity Building - Training programs are being organized to improve the big data application capabilities of inspection and supervision personnel [3] - Young inspectors in Sanmenxia are being trained in data analysis, modeling, and AI applications to enhance their analytical skills [3] - Practical training sessions are being conducted to familiarize personnel with data analysis tools and techniques [3]

Core Viewpoint - The article emphasizes the importance of supervisory mechanisms in enhancing the effectiveness of political and public oversight within the cultural and ideological sectors in Guangxi, China Group 1: Political Supervision - The supervisory body prioritizes the implementation of Xi Jinping's important speeches and directives as a key political task, establishing a tracking and supervision mechanism to ensure compliance with central government policies [1] - A quarterly "political health check" is conducted in seven comprehensive supervisory units to assess the implementation of responsibilities by party organizations [1] - Proactive measures include warning talks with over 20 individuals and delaying promotions for three individuals due to emerging issues [1] Group 2: Collaborative Supervision - The supervisory body addresses weaknesses in supervisory strength and professionalism by implementing a collaborative supervision mechanism, enhancing coordination among various supervisory groups [2] - Regular joint meetings are held to analyze issues and develop solutions, transforming the approach from isolated efforts to collaborative operations [2] - The "Qingfeng Village" app is utilized for real-time monitoring of cultural benefit funds, leading to the identification and rectification of 15 issues [2] Group 3: Public Supervision - A problem-oriented approach is adopted to ensure that public concerns are addressed, utilizing various channels to gather feedback on pressing issues [3] - A problem ledger is established, with clear responsibilities and deadlines for resolution, involving community representatives in evaluating the effectiveness of rectifications [3] - Specific actions taken include addressing off-campus training issues and conducting field research in rural cultural facilities to enhance resource management and utilization [3] Group 4: Digital Empowerment - The supervisory body is advancing big data supervision by developing an intelligent monitoring platform for project funding in the cultural sector, enabling online oversight of the entire process [4] - Since the platform's launch, over 50 projects have been monitored online, resulting in 12 warning alerts and the correction of 8 deviations [4] - A risk warning mechanism is established for key processes, with over 30 potential risk points identified and more than 50 preventive measures formulated [5] Group 5: Cultural Integrity - The promotion of a culture of integrity is integrated into daily supervision, focusing on the unique characteristics of cultural and ideological units [5] - Initiatives include the creation and performance of integrity-themed artistic productions, reaching over 15,000 audience members [5] - Educational efforts are made through warning sessions and case studies to enhance the awareness of discipline and regulations among staff [5]