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]