贵州:深化大数据信息化技术应用 数字赋能正风反腐

Core Insights - The Guizhou Provincial Commission for Discipline Inspection and Supervision has implemented a data supervision model to address issues such as delayed high-age subsidies and improper fund allocation, leading to the identification and rectification of these problems [1][2][3] Group 1: Data Supervision Implementation - The establishment of a data supervision model has allowed for the identification of individuals eligible for high-age subsidies who were previously excluded, resulting in corrective actions taken for 9 individuals [1] - The Commission has developed a comprehensive plan with 12 objectives and 32 specific measures to integrate big data into disciplinary supervision, focusing on key areas such as healthcare funds and rural subsidies [1][2] Group 2: Model Development and Effectiveness - The Commission has created 132 big data supervision models across various sectors, leading to the discovery of 1,402 problem cases and the initiation of 1,037 investigations [3] - A specific model was developed to address issues of improper subsidy claims by deceased individuals, resulting in the identification of over 2,200 abnormal data entries and the recovery of more than 800,000 yuan [2][3] Group 3: Training and Capacity Building - To enhance the capabilities of disciplinary inspection personnel in utilizing big data technology, the Commission has conducted training sessions combining theoretical knowledge and practical exercises [4] - The application of big data is increasingly recognized as vital for uncovering issues, facilitating investigations, and strengthening oversight of power operations [4]