Core Points - The National Bureau of Statistics (NBS) is actively implementing corrective measures following the feedback from the Central Inspection Team, emphasizing the importance of political responsibility and adherence to the directives of Xi Jinping [2][8][21] - The NBS has established a leadership group to oversee the implementation of corrective actions, ensuring accountability and systematic progress in addressing identified issues [4][20][25] - The NBS is committed to enhancing statistical integrity and modernizing statistical practices to support high-quality development, including reforms in statistical methodologies and the introduction of new statistical systems [12][23][24] Group 1: Implementation of Corrective Measures - The NBS is focusing on enhancing political awareness and aligning its actions with the directives from the Central Inspection Team, emphasizing the importance of learning and implementing Xi Jinping's important speeches [3][9] - A leadership group has been formed to take charge of the corrective measures, with clear responsibilities assigned to various members to ensure effective execution [4][6] - The NBS has developed detailed plans and lists of responsibilities to ensure accountability in the corrective process, including specific timelines for completion [5][6] Group 2: Statistical Integrity and Modernization - The NBS is prioritizing the prevention of statistical fraud by implementing strict measures and enhancing the legal framework surrounding statistical practices [10][22] - Efforts are being made to modernize statistical methodologies, including the introduction of new systems for digital economy statistics and carbon emissions accounting [12][23] - The NBS is enhancing its data release and interpretation processes to improve public trust and understanding of statistical data [14][23] Group 3: Long-term Goals and Future Plans - The NBS aims to establish a long-term mechanism for monitoring and implementing corrective measures, ensuring that improvements are sustained over time [20][25] - There is a commitment to continuous education and training for statistical personnel to uphold professional ethics and integrity in statistical reporting [17][22] - The NBS plans to integrate corrective actions with broader statistical reforms to enhance the overall quality and reliability of statistical data [21][23]

Core Viewpoint - The article discusses the implementation of the "One-Click Reporting" reform in Jiaxing, Zhejiang, aimed at reducing the reporting burden on enterprises and enhancing data quality through digital empowerment and process reengineering [2]. Group 1: Process Reengineering - The reform focuses on comprehensive data collection, adapting to various enterprise resource planning (ERP) and financial systems, allowing for the aggregation of 219 different reports across 12 sectors [3]. - A standardized generation process has been established, solidifying 22 high-frequency statistical report systems into a program that ensures uniform standards and processes, thereby improving data quality and reducing human error [3]. - The automation of report submission has been innovated through "template import" and "interface push" methods, significantly reducing the workload of statistical personnel from 39 to 1, with a time reduction from one day to just 5 minutes while achieving 100% accuracy [7]. Group 2: System Reconstruction - Two innovative technologies have been developed to enhance efficiency: "multi-source heterogeneous data intelligent mapping technology" and "indicator lineage tracing technology," which track data from generation to usage [8]. - Three major standards have been established to ensure system regulation, including data, indicator, and interface standards, which provide a framework for the platform's standardized operation [8]. - A four-layer security protection system has been implemented, utilizing domestically developed hardware and software to ensure the security of data throughout its lifecycle [8]. Group 3: Value Transformation - The initiative aims to create a multi-dimensional "enterprise profile" that analyzes key indicators such as output, revenue, and profit, supporting enterprises in optimizing operations and industry layout [9]. - A statistical personnel management module has been developed to strengthen the grassroots statistical foundation, ensuring traceability and data verification for real-time statistics [9]. - Various analytical models have been constructed to provide a comprehensive view of regional economic conditions, enabling the government to make informed and timely policy adjustments [9].

Core Points - The meeting emphasized the importance of preventing statistical fraud and improving data quality as a fundamental requirement for modern governance [1][2] - The leadership highlighted the need for strict enforcement of laws and regulations related to statistics, enhancing oversight and coordination among various supervisory bodies [2] - The meeting called for the advancement of statistical modernization reforms, including the adoption of new technologies such as big data and artificial intelligence [2] Group 1 - The meeting was chaired by the Provincial Secretary Zhao Yide, with key officials in attendance, including the Provincial Governor Zhao Gang and the Chairman of the Provincial Political Consultative Conference Xu Xinrong [1][3] - The National Bureau of Statistics emphasized the extreme dangers of statistical fraud and the urgency of its prevention, aligning with the central government's directives [1][2] - The meeting aimed to strengthen the monitoring and analysis of economic operations, ensuring that statistical data serves high-quality development [2] Group 2 - The meeting stressed the need for a comprehensive approach to statistical work, including legal education and the establishment of a robust statistical workforce [2] - It was noted that the focus should be on key economic and social development targets, enhancing the effectiveness of statistical data interpretation and publication [2] - The leadership underscored the importance of maintaining the authenticity, authority, and scientific nature of statistical data [2]