Recently, the Discipline Inspection Commission and Supervisory Commission of Linyi City, Shandong Province, forwarded the latest batch of suspected issues discovered during big data comparison to functional departments, urging them to verify them as soon as possible. These suspected issues mainly involve areas such as high standard farmland construction, subsidies for land fertility protection, and subsidies for the purchase and application of agricultural machinery. We have selected several small incisions to promote the rectification of prominent issues in the supervision of the use of rural revitalization funds from point to area. In this process, big data technology is used to expand the scope and depth of supervision, integrate relevant business data from functional departments, establish 16 digital supervision models, and accurately identify problems through big data analysis, providing strong disciplinary guarantees for the comprehensive revitalization of rural areas. ”Officials in charge of the Linyi Municipal Commission for Discipline Inspection and Supervision introduced that 395 suspected issues related to the comprehensive revitalization of rural areas have been discovered in big data supervision since the beginning of this year, all of which have been transferred to functional departments for verification. As of now, 19 related problem clues have been handled and 6 cases have been filed. General Secretary Xi Jinping emphasized that to promote Chinese style modernization, we must persistently consolidate the foundation of agriculture and promote comprehensive rural revitalization. The Fourth Plenary Session of the 20th Central Commission for Discipline Inspection emphasized the need to closely monitor the implementation of policies and measures by the Party Central Committee on comprehensive rural revitalization, benefiting and enriching the people, and preventing large-scale poverty reduction. We will strengthen supervision of clues reflecting corruption issues around the masses, and severely punish acts such as embezzlement, interception, false reporting, and extortion. We will resolutely cut off the "black hands" that extend to the interests of the masses. Disciplinary inspection and supervision agencies at all levels empower anti-corruption efforts with information technology, focus on key areas such as comprehensive rural revitalization, rely on big data analysis to accurately identify clues to misconduct and corruption, and continuously improve the penetration and effectiveness of supervision. In the collision analysis of massive data, previously difficult to detect doubts have surfaced. Not long ago, staff members of the Discipline Inspection Commission and Supervisory Commission of Yongchun County, Quanzhou City, Fujian Province, discovered an anomaly in the cross departmental data comparison of the list of low-income, extremely poor, and incarcerated individuals - one person was still receiving low-income benefits while serving their sentence. Subsequently, the Discipline Inspection Commission and Supervisory Commission of the county, together with civil affairs and other departments, conducted an in-depth investigation and found that the village cadre Pan, where the prisoner was located, did not effectively manage the dynamic situation of low-income and extremely poor objects, resulting in the prisoner illegally receiving a low-income allowance of 16700 yuan. At present, the illegally issued subsistence allowance has been fully recovered, and Pan has also been punished accordingly. The Discipline Inspection Commission and Supervisory Commission of Quanzhou City actively explore new paths for digital supervision, establish cross departmental data sharing models, and create big data supervision model application scenarios around five aspects of benefiting the people and farmers, including rural dilapidated house renovation subsidies and subsistence allowances. On the one hand, the Discipline Inspection Commission and Supervisory Commission of the city conducted centralized big data screening, and on the other hand, conducted point-to-point verification of key warning information through data review, on-site visits, and other methods, building a supervision loop of "data collection comparative analysis abnormal warning diversion verification", investigating and punishing a number of disciplinary and illegal issues, and ensuring the implementation of various policies that benefit the people. The Commission for Discipline Inspection and Supervision of Lankao County, Kaifeng City, Henan Province, is supported by big data to build a "dynamic monitoring, precise traceability, and targeted governance" supervision chain, achieving full process intelligent supervision of the implementation of policies benefiting the people and the use of funds benefiting agriculture. The county's discipline inspection and supervision commission integrated data from 12 departments including agriculture and rural areas, human resources and social security, civil affairs, health, and medical insurance, and constructed a rural revitalization supervision database containing 68 categories of information on low-income populations, industrial support projects, and agricultural subsidies for 464 administrative villages (communities). At the same time, data on beneficial subsidies such as farmland protection and elderly subsidies will be integrated into the online supervision platform for village affairs, and warning models such as "contract execution progress", "idle assets/resources", "one person multiple cards", and "duplicate declarations" will be set up. Through big data supervision, real-time monitoring of the implementation of policies in key areas has been achieved, and a number of issues related to the inadequate implementation of policies benefiting the people have been identified and promoted for rectification, "said a relevant comrade in charge of the Lankao County Commission for Discipline Inspection and Supervision. Big data supervision also plays an important role in improving the quality and efficiency of rural collective "three capital" supervision and promoting more standardized and transparent management. The Discipline Inspection Commission and Supervisory Commission of Wanzhou District, Chongqing, promote the establishment of a rural collective fund big data supervision and management platform by relevant functional departments such as the District Agriculture and Rural Affairs Commission. When village collectives declare the use of funds on this platform, they need to upload relevant materials such as minutes of democratic decision-making meetings, which will be reviewed and approved online by village and town auditors, and connected to the bank payment system to achieve full traceability. At the same time, the platform will automatically issue warnings for risky trading behavior and other situations to prevent problems such as "sitting back and forth". Once a warning message appears on the platform, relevant functional departments will promptly organize verification, and those suspected of violating discipline and law will be handed over to disciplinary inspection and supervision agencies for serious investigation and punishment. For example, based on the platform's warning of large withdrawals from a collective fund account in a village in Yujia Town, we identified the issue of Li, the secretary of the village party branch and director of the village committee, falsely listing expenses to embezzle funds and establish a 'small treasury'. As a result, Li was given a warning within the party. ”Officials in charge of the Discipline Inspection Commission and Supervision Commission of Wanzhou District said that with the support of big data, the coordinated efforts of supervision and supervision can more effectively regulate the operation of small and micro power. (New Society)