Smart Data Asset Management System for Financial Institutions
Enables far more efficient data asset management
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Powered by the knowledge graph, natural language processing (NLP), and experience of financial institutions in data governance, the product facilitates the end-to-end process from data assets being taken as production factors to their value realization, involving the planning, development, operation, control, evaluation, and supervision. In addition, the product optimizes the development, use, and disposal of data assets, and maximizes data value, so that data assets are managed in a more viable, comprehensible, usable, evaluable, and operable manner.

Features and Advantages

数据资产分析能力
数据资产分析能力
构建数据资产分析能力,通过数据关联分析、数据血缘分析及数据资产分类,提供数据资产信息服务
血缘关系抽取服务
血缘关系抽取服务
数据库和调度平台中的动态脚本、日志进行解析,完成血缘关系信息提取
人工标注与机器学习结合
人工标注与机器学习结合
建立HI+AI模式,进行数据资产分类打标,并通过文本语义相似度比来完成检索、推荐服务
全方位技术服务实力
全方位技术服务实力
提供资产分类、血缘解析、图谱构建、可视化分析及数据资产智能应用端到端的技术服务能力

Product Structure

Various Business Scenarios for Digitalization Construction

数据资产管理
数据资产管理
银行、保险等金融机构的智能数据管理和使用

Related Case

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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data asset management system project
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