Recently, the Discipline Inspection and Supervision Commission of Qinhuai District, Nanjing City, Jiangsu Province, discovered through a big data supervision platform that the relevant modules of the "Pollution Prevention and Control Supervision Platform" triggered warnings due to repeated complaints at the same location. The staff of the Discipline Inspection Commission and Supervision Commission of the district conducted timely verification, and ultimately, the relevant responsible persons were held accountable and punished. This module incorporates the entire process of environmental law enforcement power and sets warning conditions such as overdue acceptance, repeated complaints, and abnormal penalty amounts. When problems occur, the system directly triggers warnings and important matters are directly pushed to the district discipline inspection commission and supervision commission. ”Zhan Bing, Director of the Supervision and Review Technical Office of the Qinhuai District Commission for Discipline Inspection and Supervision, introduced. In recent years, the Qinhuai District Commission for Discipline Inspection and Supervision has responded to the requirements of big data development, focusing on serving and ensuring the main responsibilities and businesses of discipline inspection and supervision. It has deeply explored and researched new models of integrating information technology with discipline inspection and supervision business, continuously breaking down data barriers between discipline inspection and supervision agencies and relevant functional departments, effectively expanding the breadth and depth of supervision, and empowering and increasing efficiency in supervision, discipline enforcement, and law enforcement. The discipline inspection and supervision commission of the district strengthens communication and coordination with departments such as civil affairs, human resources and social security, finance, health, emergency management, and market supervision, establishes and improves inter departmental data sharing mechanisms, and enables comprehensive matching and mutual integration of various data. By accessing the "Sunshine for the People" regulatory platform, the management information of the use of funds for the benefit of the people from 20 departments in the entire district can be seen at a glance; Connect to the "Double Random One Public Platform" to provide real-time supervision of the performance of administrative law enforcement personnel in the entire district; Connect to the "12345 Government Hotline Comprehensive Management Platform" to timely pay attention to and understand the different opinions and demands of residents, as well as the cadre style reflected behind them. At present, we have achieved full process supervision of key areas and important matters through data empowerment, promoting the transformation of industry supervision, internal supervision, and disciplinary inspection and supervision from 'fighting independently' to 'collaborative linkage'. 'Let data speak' is becoming a new path for regulatory supervision to connect and collaborate. ”Introduction by the relevant person in charge of the Discipline Inspection and Supervision Commission of the district. In response to the key links where corruption is prone to occur in the exercise of power, the discipline inspection and supervision commission of the district focuses on finding clues through data collision and comparison, investigating the root causes through information mining and analysis, continuously improving the timeliness and effectiveness of discovering problem clues, and striving to enhance the accuracy and transparency of supervision, providing data support for supervision and case handling. The discipline inspection and supervision commission of the district has built multiple supervision models around key areas such as the distribution of subsidies for the benefit of the people, procurement of educational aids, use of property maintenance funds, and leasing of state-owned operating properties. They have collected various business data from relevant functional departments, and through data correlation, collision comparison, screening and analysis, have identified suspicious information and formed problem clues; In the process of supervising the collection of social security subsidies for flexible employment, we will start from aspects such as personnel identity, audit standards, and payment deadlines, set comparison rules, conduct multidimensional data collision, and capture abnormal information; In the process of carrying out supervision of state-owned commercial property leasing, multiple supervision rules are established, including abnormal public leasing, abnormal leasing area, and abnormal water and gas supply of vacant properties. Comprehensive data collision is strengthened, and big data analysis is utilized to achieve real-time dynamic monitoring and intelligent warning of the entire process of state-owned commercial property leasing, use, withdrawal, and vacancy. (New Society)