商业银行数据中台实践

Practice of Data Hub in Commercial Banking

为落实商业银行数字化转型以及科技发展规划的要求,吉林银行实施了数据中台项目,以全面激活数据在行内各个领域的能力。该数据中台以大数据平台为数据基础能力底座;以数据模型、指标体系、数据标签体系为途径实现系统平台化、数据服务化、数据资产化为目标;在数据中台中融入数据AI能力,将人工智能技术渗透至数据资产管理、数据分析和数据服务的各个层面,构建数据资产管理能力、数据分析能力、数据服务能力3种能力。数据中台项目实施后,为行内员工、客户、合作伙伴等方便地应用数据提供了极大的便利,让数据随需可见、随手可得、随处可通。

To fulfill the requirements of digital transformation and technological development planning in commercial banking,Jilin Bank has implemented a data hub project to fully activate the capabilities of data in various areas within the bank.This data hub takes the big data platform as the foundation for data capabilities.Also it utilizes data models,indicator systems,and data tagging systems as the approach to achieve the goals of system platformization,data serviceorientation,as well as data assetization.By integrating AI capabilities into the data hub,artificial intelligence technology is permeated into all aspects of data asset management,data analysis and data services,thereby building the capabilities of data asset management,data analysis,and data service of the bank.After the implementation of the data hub project,it has greatly facilitated the convenience of data usage by employees,customers,and collaborators.This allows data to be visible on demand,accessible within reach and extendable anywhere.