data asset management system project
Mininglamp Technology has built for customer banks a next-generation data asset management system tailored to financial institutions. Based on the business-oriented data asset catalog and full-graph and global lineage and supported by the knowledge graph, machine learning, and natural language processing (NLP) technology, the system allows enterprise-level data to be managed and shared in customer banks.
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Introduction

某大型国有商业银行
大型国有商业银行构建了新一代金融机构数据资产管理平台,利用AI技术辅助银行进行数据资产管理。
Project Results
  • 数据资产智能分类
    综合运用专家经验、机器学习、NLP等技术,对各类数据资产按照数据资产目录进行标签分类。实现对生产表、字段、客户基本特征等分类,以及指标、标签整合

 

  • 记录级血缘解析
    专家经验和人工智能相结合,对存在于各种数据库和调度平台中的动态脚本、日志进行解析,完成表级血缘、字段血缘、调度血缘、采集血缘、服务血缘、应用血缘的构建

 

  • 数据资产智能应用
    实现元数据血缘下钻、分析、搜索定位等,并提供计算优化、资产分布分析、数据溯源、影响分析、差异诊断、资产评估等智能服务
Related Product
Smart Data Asset Management System for Financial Institutions
Enables far more efficient data asset management
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