该市纪委监委派驻机构借助驻在单位信息系统的统计、分析、审计、预警等模块筛查异常数据。市纪委 监委驻市规划和自然资源局纪检监察组运用系统比对功能，监督发现崇州市、龙泉驿区两地"非农化"违 法用地一直未整改到位等问题，通报属地纪委监委调查核实；市纪委监委驻成都银行纪检监察组依托银 行系统的监督审计功能，建立员工异常行为监督模型，及时发现问题线索。 此外，成都探索构建问题数据线上自动流转分办、线下核查处置反馈的运行机制，由监督检查室对分管 联系单位（地区）的问题数据进行分办、自办和督查督办、抽查核实，夯实问题数据处置责任，提升工 作质效。（记者 袁尧 通讯员 封金剑） 该市各级纪检监察机关着力打通数据壁垒，持续优化市县两级大数据监督平台，健全完善"数据采集 +模型构建+数据碰撞+核实处置"闭环机制，提高发现问题线索的精准度。 "我们全面梳理掌握各地各单位数据资源底数，进行'串联'，实现大数据监督平台集成化建设、集群化 发展。"成都市纪委监委技术保障室主任马深敏介绍，目前，全市已围绕村（社区）干部违规领取耕地 地力保护补贴等风险点位构建起442个监督模型。 近日，四川省成都市锦江区纪委监委归集近5年招商引资奖励补贴领 ...

Group 1 - The core viewpoint of the articles emphasizes the use of big data to enhance supervision and prevent corruption related to public vehicle usage in Yinchuan, Ningxia [1][2] - The Yinchuan Discipline Inspection and Supervision Commission has developed a big data supervision system called "Wisdom Eye" to monitor fuel card usage and identify potential violations such as private use of public vehicles [1] - The system utilizes various warning models based on fuel consumption patterns, such as "holiday consecutive refueling counts," to detect irregularities in public vehicle usage [1] Group 2 - The public vehicle management department in Yinchuan has implemented a digital reform through an intelligent control system that monitors vehicle operations in real-time, ensuring comprehensive management of public vehicle applications, dispatching, and settlements [2] - All non-emergency vehicle requests must be pre-approved and documented, with strict monitoring of driving routes to prevent unauthorized use of public vehicles [2] - The city has established a cashless settlement process for fuel, maintenance, and other services, along with an electronic file system for each vehicle to track maintenance records, mileage, and fuel consumption [2] Group 3 - Employees in Yinchuan have reported a significant change in work culture, with increased adherence to regulations and a shift towards using public transportation for official duties, reducing personal use of public vehicles [3]

Group 1 - The core viewpoint of the article is that Shenyang, Liaoning Province, is utilizing big data supervision models to combat irregularities in bidding and tendering processes, enhancing the ability to detect issues and convert leads into actionable insights [1][4][6] - The establishment of various supervision models, such as the "Mark King" model and compliance review models for agencies, aims to identify suspicious entities with abnormally high winning rates and address issues related to proxy agencies [1][5] - The use of big data has significantly improved the efficiency and accuracy of investigations, allowing for a comprehensive analysis of bidding data and the identification of potential corruption cases [4][5] Group 2 - In response to irregularities observed during the renovation of old residential areas, Shenyang's disciplinary inspection and supervision authorities have implemented data comparison methods to uncover suspicious patterns in project bidding [2][4] - The city has coordinated with relevant departments to gather a vast amount of data, including 15.18 million records related to construction projects and government procurement, to enhance oversight capabilities [5] - The integration of AI technology with existing supervision models is being explored to further address issues such as collusion and manipulation in the bidding process, leading to increased market activity [6]

Group 1 - The article highlights the discovery of collusion among three companies in bidding for village-level engineering projects, leading to investigations into four party members [1] - The Shashi District Discipline Inspection Commission has implemented a comprehensive data-driven supervision process to identify and address irregularities in the bidding process [1] - A total of 6,125 data entries were analyzed to identify key elements and pinpoint abnormal data, revealing hidden violations in the bidding sector [1] Group 2 - The district's commission has urged relevant departments to learn from typical cases and address gaps in the bidding process, leading to the development of new management guidelines [2] - Specific measures have been proposed to enhance supervision of bidding processes across various sectors, identifying 36 integrity risk points and 11 regulatory measures [2]

近日，甘肃省兰州市红古区纪委监委召开协作片区工作推进会，针对此前通过片区协作机制查处的某村 党支部委员王某某违纪案件，办案人员逐一分享交流经验。 机制建好了，怎么用是关键。兰州市纪检监察机关创新工作模式，指导各协作片区采取交叉检查、联合 督查、提级办理等方式，常态化开展村级"小微权力"、农村集体"三资"管理、惠民政策落实等监督。对 于村级财务收支、工程项目建设等关键领域，定期组织片区内乡镇（街道）纪检干部、村级纪检监察联 络员开展交叉检查，破解基层监督能力不足等问题。 与此同时，兰州市纪委监委持续探索构建"市谋划县统筹抓乡村"机制，持续完善基层监督体系，强化全 市纪检监察工作一体化认识，逐渐形成日常监督以同级为主、重点事项交叉监督、上级办案支撑监督的 工作布局。全市纪检监察机关聚焦乡村振兴、医保基金、养老服务等领域专项整治，通过开展联合办案 和乡镇协作区办案，破解"熟人社会"监督难题。 做实基层监督，要强化办案引领，推动全面从严治党向基层延伸。在片区协作的基础上，全市纪检监察 机关"室组""室地""室组地"联动开展跨地区、跨部门、跨行业监督检查、审查调查，并建立"抓片联 县"机制，由市纪委监委领导班子成员分别 ...

Group 1 - The core issue of misappropriation of collective funds in rural areas has been addressed, with the recovery of over 600,000 yuan and improved transparency in financial management [1] - The disciplinary inspection and supervision agencies in Chongzuo City have focused on issues such as mismanagement of rural collective "three funds," resulting in 145 cases investigated and 132 individuals punished [1] - A special inspection team was formed to ensure timely distribution of dividends from collective funds, recovering over 8.89 million yuan in overdue dividends for collective economic members [1] Group 2 - The use of "big data" has been emphasized to enhance the effectiveness of supervision, with the establishment of online platforms for real-time monitoring of village affairs and collective asset transactions [2] - Efforts are being made to address issues related to the management of rural "three funds," including annual audits and regular supervision, with 855 village economic responsibility audits completed, recovering 885,000 yuan for collective funds [2]

Group 1 - The core viewpoint of the articles is the innovative use of big data by the Shenyang Sujiatun District Commission for Discipline Inspection and Supervision to address issues related to the misappropriation of subsistence allowances for vulnerable groups [1][2] - A case was uncovered where a village committee member misappropriated subsistence funds intended for a sick individual, highlighting the lack of oversight in the management of these funds over a four-year period [1] - The district's disciplinary body has taken measures to ensure accountability by imposing party disciplinary actions on responsible officials and issuing supervisory recommendations to relevant departments [1] Group 2 - The district's Commission for Discipline Inspection and Supervision is pushing for the refinement of the "Registration System for Proxy Collection of Assistance Funds" to enhance the regulation of the collection process and supervision mechanisms [2] - A self-inspection initiative has been launched across 12 streets in the district to identify and recover funds from individuals who fraudulently claimed assistance [2] - The overall goal is to ensure that social assistance resources are distributed fairly and to promote a more standardized and rigorous approach to social assistance work in the Sujiatun District [2]

近日，广西壮族自治区北海市合浦县闸口镇根据农村集体资产监管平台预警提醒，对某村一片闲置的85 亩养殖水面进行挂牌招租，仅半个月便完成了交易，避免集体资产浪费。 合浦县纪委监委着眼数据赋能，结合日常监督检查和审查调查情况，全面梳理农村集体"三资"领域的管 理漏洞和廉洁风险，积极探索数字监督新路径，推动该县农业农村局建设农村集体资产监管平台，督促 其扛牢监管责任。 该平台通过合同信息采集，动态分析监测农村集体"三资"交易情况，围绕经营闲置、场外交易、化整为 零以及交易的时效性、合理性、规范性、规模性等14个预设风险点进行自动排查，对资产资源闲置、租 赁合同到期、租金延期进账等异常情况实时发出信息提示。县农业经营服务指导站工作人员利用平台 的"一键督办"功能将其转交相关乡镇核查处理。 "我们在监管平台嵌入'廉情预警'模块，及时掌握相关党员干部履职尽责情况。"合浦县纪委监委相关负 责同志介绍，该平台实现了对全县各村（社区）集体资产资源的线上实时监测，今年以来，已预警异常 情况、潜在风险47条。 北海市纪委监委通过组建专业技术人才库、举办大数据应用培训、建设大数据分析平台等举措，推动全 市纪检监察机关持续深化运用大数据 ...

Group 1 - The article discusses the investigation and rectification of wage fraud involving village officials in Lanxi City, Zhejiang Province, where three officials returned illegally obtained wages and received disciplinary actions [1] - The Lanxi City Discipline Inspection Commission utilized big data analysis to identify issues of repeated wage payments to village officials, ensuring the legal and reasonable use of collective funds [1] - A total of 18 supervisory models have been developed to monitor various types of grassroots subsidy violations, including fraudulent claims for work hours and duplicate payments to departing officials [1] Group 2 - To enhance the precision of big data supervision, the city has established a cross-departmental data sharing mechanism involving multiple agencies, allowing for comprehensive data collection and optimization of supervisory models [2] - The city’s Discipline Inspection Commission has implemented a collaborative mechanism for case analysis, utilizing data models to replace manual efforts in investigations, thereby improving efficiency in handling similar cases [2] - Since last year, the commission has initiated 55 regional and sector-specific rectification projects, issued 98 disciplinary recommendations, and emphasized the importance of digital supervision to enhance the effectiveness of grassroots oversight [2]

Group 1 - The core focus of the news is the ongoing efforts by the Huai'an District Commission for Discipline Inspection and Supervision in Jiangsu Province to address corruption and irregularities in the medical sector, particularly concerning the management of medical insurance funds and the misuse of resources [1][2] - The district has implemented a big data supervision model to monitor and analyze abnormal patterns in medical treatment and insurance claims, particularly for patients seeking treatment in private hospitals located far from their homes [1][2] - As a result of these efforts, the district has already detained 3 individuals and sent 5 others for prosecution due to suspicious activities related to medical insurance misuse [2] Group 2 - The district's Commission for Discipline Inspection and Supervision is actively working to identify and rectify deep-rooted issues behind the irregularities, collaborating with local health and civil affairs departments to propose new regulations and ensure compliance [2] - There is a commitment to continuously improve the big data supervision model to eliminate data silos and enhance the overall monitoring system, transitioning from manual processes to data-driven analysis [2] - The district aims to create a transparent and accountable medical environment, ensuring that the public feels tangible improvements in the healthcare system [3]