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Industry SolutionsData research and development management project of a certain bank
The client has already established a data warehouse and a big data platform, and has carried out data governance-related work. However, these various tasks are relatively disconnected from each other, lacking unified management, with excessive manual intervention and a low degree of digitalization and automation.
• Inconsistent execution steps: The data processing procedures and links are still highly dependent on the project implementation team, with insufficient autonomy and capabilities. This leads to potential safety hazards in production quality.
•Manual processing accounts for a large proportion: During the project execution, manual processing and offline operations still dominate, which consumes a significant amount of human resources, prolongs the delivery cycle and lowers the execution efficiency.
• Insufficient asset accumulation: The resource utilization during the execution process is not shared among various project teams. Some project procedures need to be repeated, resulting in waste of manpower and time costs.
Establish a high-efficiency, intelligent data development pipeline to reduce costs, enhance efficiency, improve quality, and promote independent capabilities throughout the data development lifecycle.
By streamlining the full-cycle workflow—from analysis and design to development, testing, and delivery—the pipeline enables standardized, automated, and process-driven development. This significantly shortens the overall R&D and delivery timeline, improves data and code quality, and supports rapid delivery and large-scale rollout of data projects.
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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