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Industry SolutionsExternal Data Management Platform for a Leading Bank
As the bank advanced its digital transformation initiatives, it gradually expanded the integration of external data sources, with increasing demand across various business lines. In 2020, the bank set the goal of "unified access, unified management, and unified output," aiming to consolidate existing external data resources, rebuild its external data management framework, and streamline external data service processes. Under the overarching principles of security and compliance, the bank sought to apply external data to business scenarios such as intelligent risk control, intelligent marketing, intelligent operations, and intelligent decision-making, fully and efficiently unlocking the value of external data assets. At present, the bank has already integrated some external data, and the External Data Management Platform is tasked with migrating existing external data into the new system.
Centralized management of external data providers to avoid repeated purchases of similar external data and to control high external data service fees.
Unified management of external data to prevent redundant system development and reduce technology construction costs.
Reduction of external data service fees by setting different data validity periods based on update frequencies, thereby avoiding additional third-party interaction costs within the validity period.
Lowering the development complexity and workload for internal systems by providing open service documentation and data service integration capabilities.
Enhancing internal billing management to enable multidimensional cost tracking and analysis by institution/department, system, and interface.
Migration of external data and services from existing systems to the new platform.
GienTech developed a customized External Data Management Platform tailored to the client's pain points. The platform enables standardized management of external data ingestion, storage, sharing, and service delivery.
GienTech successfully helped the client achieve dual centralization of business and technology functions. The solution provided interface integration, data caching, query and reporting capabilities, open SDK services, and API services. It reduced service costs, lowered development efforts, enhanced internal management and statistical analysis, standardized external data services, and advanced the bank’s digital transformation journey.
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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