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Industry SolutionsJoint-Stock Bank Multi-Dimensional Profitability Analysis
To enhance business analysis and decision-making capabilities, the bank needed to consolidate its fragmented management information across the organization. The goal was to enable leaders at all levels to efficiently access accurate data and improve the overall digitalization of management decision-making.
The project was centered around multidimensional profitability analysis and required the ability to meet diverse user needs through a flexible reporting system that supports both ad hoc queries and standardized report formats.
The solution focused on three key areas: data, tools, and applications.
By integrating and processing financial data, the project established a unified indicator framework and a comprehensive dimension system. It also defined standardized data management practices — including indicator naming conventions, definitions, and calculation methodologies — to enable flexible data extraction, utilization, and management in the future.
Established a multidimensional indicator management system.
Fully enabled flexible definition and automated configuration of business-requested indicators.
Delivered nine functional modules, including indicator maintenance, indicator search, pending indicators, indicator approval, approval logs, operation history, dependency analysis, indicator unlocking, and multidimensional analysis.
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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