Central State-Owned Financial Asset Management Platform Project
A central state-owned financial asset management enterprise plans to build a new asset management platform with the following requirements:
Meet regulatory requirements;
Manage enterprise-level data standards;
Improve data quality control;
Establish data relationship tracking with traceability;
Conduct data asset inventory and create an asset list;
Establish report and indicator asset management mechanisms.
The ORIGIEN Data Integration Platform facilitates fast data connection;
The ORIGIEN Data Scheduling Management Platform enables unified job monitoring and management;
The ORIGIEN Data Governance Platform serves as the backbone for integrating and coordinating five platforms, forming a unified metadata repository, standard system, and quality tracking and control mechanism;
The ORIGIEN Data Service Platform offers unified external data service management capabilities;
The ORIGIEN Indicator Engine software handles unified definition, changes, and calculations of data indicators.
Completed 5 platforms with 10 major functional components, including data standards management, data governance, data quality management, metadata management, indicator management, asset visualization, external data services, and system data scheduling and distribution.
Achieved data transfer of tens of millions of records (equivalent to 3GB of files) within 10 minutes; assisted the core system with tracking changes in over 1,300 database table versions; monitored and addressed progress on over 500 data quality rules; completed parsing of over 1,600 reports; summarized more than 1,600 base data standards, created more than 10,000 standard codes, and over 1,000 indicator standards, with results pushed to target systems as needed.
中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。
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鲸Bot设计器
鲸Bot设计器集成了浏览器自动化组件,office办公自动化组件,数据库组件,文件处理组件、邮件组件等多种类型组件,通过全栈自动识别技术,自动识别目标元素,使开发过程所见即所得,降低了RPA开发门槛,让业务人员也可以方便地进行业务流程的开发。
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鲸Bot机器人
通过手动执行、定时执行、控制台远程调用的方式运行自动化流程,配合控制台对外提供API接口,供外部程序调用。通过特有的视觉反馈技术提供统一的异常处理机制,极大降低开发和运维成本,让RPA流程运行更加稳定,而解决金融行业因技术人员产能不足难以支持其业务发展的问题。
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