天津市企业严重失信主体名单数据

市信用信息共享平台设定清洗规则库和关联规则库两个校验规则库，实现数据治理规范化管理；制定统一的去重标准和同步标准，实现数据治理标准化管理；数据目录分别设置去重、清洗、关联、同步校验规则，实现数据治理清单化管理，截至10月底，市信用信息共享平台设定数据校验规则2466个，实现数据的全生命周期管理。天津市企业严重失信主体名单数据通过市信用信息共享平台治理产生，实行目录化管理，为我市每个执法单位建立企业严重失信主体名单目录，并为目录设定字段级、表级、目录级校验规则，先后经过归集、整合、清洗、关联等步骤，通过五步九环（五步：采集、清洗、关联、同步、分发；九环：1、采集库数据入库情况、2、数据采集轮询展示、3、数据增量检查情况、4、数据规则校验情况、5、数据关联匹配情况、6、数据同步推送情况、7、档案库数据入库情况、8、分批次抽取数据情况、9、主题库生成情况）数据处理流程，将市、区、街乡镇三级执法部门产生的企业严重失信主体名单数据，加工生成全市企业严重失信主体名单数据。The Municipal Credit Information Sharing Platform has established two verification rule bases, namely the cleaning rule base and the association rule base, to realize standardized management of data governance. It has also formulated unified deduplication and synchronization standards to achieve standardized management of data governance. Data catalogs are respectively configured with deduplication, cleaning, association and synchronization verification rules to enable inventory-based management of data governance. By the end of October, the Municipal Credit Information Sharing Platform had set up 2,466 data verification rules, realizing full-life-cycle management of data. The data of Tianjin's list of enterprises with serious dishonest acts is generated via the governance of the Municipal Credit Information Sharing Platform and managed in a catalog-based manner. A catalog of enterprises with serious dishonest acts has been established for each law enforcement authority in Tianjin, with verification rules configured at the field-level, table-level and catalog-level. Having successively gone through processes including collection, integration, cleaning and association, and adopting the "Five-Steps and Nine-Links" data processing workflow—where the five steps refer to collection, cleaning, association, synchronization and distribution, and the nine links are: 1. Data warehousing status of the collection database, 2. Data collection polling and display, 3. Data incremental inspection status, 4. Data rule verification status, 5. Data association and matching status, 6. Data synchronization and push status, 7. Data warehousing status of the archive database, 8. Data batch extraction status, and 9. Theme database generation status—the data of enterprises with serious dishonest acts generated by law enforcement departments at the municipal, district, sub-district and township levels are processed into the city-wide list of enterprises with serious dishonest acts.

搜集汇总

背景与挑战

背景概述

该数据集记录了天津市范围内企业严重失信主体的名单信息，包含企业名称、统一社会信用代码、法定代表人、认定日期等13个字段，数据规模超过1190万条，每月定期更新。它适用于信用、金融和城市治理领域，为银行、征信机构等提供数据支撑，助力社会信用体系建设、金融风险控制和城市治理优化。数据通过市信用信息共享平台进行规范化处理，采用五步九环流程确保质量，并已在天津知识产权交易平台存证。