On December 6, the reporter learned from the Qinghai Provincial Administration for Market Regulation that the State Administration for Market Regulation notified 32 provinces, autonomous regions, municipalities and the Xinjiang Production and Construction Corps of the results of the enterprise credit supervision data quality ranking results, and the quality of enterprise credit supervision data in our province achieved 9907, ranking from the second to last in April this year to the 6th in the country.
Since the State Administration for Market Regulation deployed the action to comprehensively improve the quality of enterprise credit supervision data, the Provincial Market Supervision Bureau has attached great importance to the implementation of the enterprise credit supervision data quality action as one of the pillars and pillars to improve the efficiency of market supervision. The "six" attributes of accuracy, standardization, redundancy, and relevance, persist in making corrections while investigating, and correcting at the same time, comprehensively analyzing and finding the causes of problems, and strengthening the management of credit information data quality throughout the entire process and in all fields, such as data collection, information filling, sharing and exchange, aggregation and publicity, through measures such as improving information platform functions, completing sharing and exchange mechanisms, verifying original work files, prompting and verifying the quality of information, warning the consequences of incorrect reporting, and real-time reporting on work progress.
Comprehensively carry out self-examination of problem data, earnestly check the quality inspection indicators of credit supervision data of the State Administration of Credit Regulation, carry out verification of all data, and sort out more than 800,000 pieces of problem data. Earnestly carry out the correction of problem data, adopt methods such as correlation data comparison and correction, manual comparison and file modification, etc., and repair more than 7.8 million erroneous data in total. Optimize mechanisms for data entry, aggregation, and sharing of related information systems such as administrative approvals, administrative punishments, coordinated supervision, and annual report announcements, improve data content and transmission formats, and carry out governance of the source of credit regulatory data quality, greatly reducing the likelihood of problematic data reappearing, and laying a solid data foundation for improving the quality and efficiency of efforts such as hierarchical and categorical credit management, credit improvement, credit restoration, and information disclosure.
Qinghai**" December 09, 2023 2nd Edition: Provincial News).
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