纪检监察工作高质量发展·践悟 | 用科技手段加强监督

Core Viewpoint - The article emphasizes the integration of digital technology into the disciplinary inspection and supervision system, highlighting the importance of big data in enhancing proactive and precise oversight in combating corruption and improving governance efficiency [5][17]. Group 1: Digital Supervision Initiatives - The Hunan Province's Hengyang City is advancing the construction of a digital disciplinary inspection and supervision system, integrating digital technology into various business operations [5]. - The Zhejiang Province's Yongkang City is exploring new paths for digital supervision of rural "three assets" management, aiming to enhance grassroots governance effectiveness [3][5]. Group 2: Data Utilization and Model Development - Hengyang City has established a big data resource center that connects core data from 23 units, facilitating proactive supervision by creating supervision models that identify risk points [6]. - A total of 223 public power big data supervision models have been developed in Jinhua City, generating 6,830 red alerts that have been properly addressed [7]. Group 3: Enhancing Supervision Efficiency - The article discusses the importance of using big data to transition from reactive to proactive supervision, allowing for early detection of potential issues [6][9]. - The establishment of a closed-loop management mechanism for supervision, which includes data acquisition, model creation, alert processing, and governance promotion, is emphasized [8][12]. Group 4: Training and Capacity Building - There is a focus on cultivating a professional team skilled in big data analysis to enhance the precision and effectiveness of disciplinary inspection and supervision [9][10]. - The article highlights the need for continuous training and the establishment of a mechanism for regular skill enhancement among supervisory personnel [10][14]. Group 5: Future Directions and Goals - The article outlines plans to further integrate data resources and optimize supervision models, aiming for deeper data fusion and smarter, more precise oversight mechanisms [14][15]. - The goal is to create a comprehensive digital supervision framework that covers all elements and processes, ensuring effective collaboration across departments and enhancing the overall efficiency of disciplinary inspection work [13][17].