ORIGIEN Next-Gen Digital Infrastructure
Distributed Core Banking System
Distributed Financial PaaS
Data Middle Platform
Digital Marketing
Risk & Compliance
Payment & Settlement
Channel Solutions
Credit Management
Transaction Banking
Open Banking
Digital Operation
QA Platform
AI Applications
Industry SolutionsGroup Data Middle Platform Project
A group company plans to build a data middle platform to achieve the following requirements:
Construct a unified monitoring and analysis system
Build a unified decision-making system;
Plan a unified construction and operation mechanism
Implement a unified data management model.
The integration of multiple heterogeneous data sources requires unified access to data from financial, human resources, supply chain, investment, and customer systems, data correction and supplement, and the construction of a data warehouse.
Data integration completed through the ORIGIEN Data Integration Platform to meet data warehousing needs;
The platform consists of historical data storage, data integration platform, data application layer, data application portal, scheduling monitoring, and operation management, enabling efficient data value transformation, asset ledger-based data management, and a secure compliance management system.
Completed the integration of 5 business systems (treasury, human resources, finance, procurement, and invoicing systems) into the data warehouse, with 185 tables integrated. The monitoring system connected over 20 systems, serving more than 1,000 users;
Developed 27 cockpit pages and managed 77 report contents;
Enabled the sharing of over 100 interfaces, providing terabyte-level data services;
Completed 4 storage layers, 4 ETL processes, and job scheduling control for 5 dedicated modules, managing a total of 819 jobs.
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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