The client faced multiple challenges in data development and management:

A large number of siloed IT applications with deep integration barriers between systems；

Manual coding during development, leading to low efficiency, long cycles, high error rates, and poor traceability；

Slow response to data service demands, with legacy data services causing resource waste due to idle execution；

Low efficiency in analyzing, locating, and resolving data quality issues, compounded by fragmented governance frameworks and serious communication barriers across departments.

• Established an efficient, intelligent data development pipeline that helped the bank reduce costs, increase efficiency, and improve quality across the data development lifecycle

• Enabled data developers to work seamlessly across analysis, design, development, testing, and delivery through a unified data development pipeline

• Achieved faster and more scalable data project delivery through streamlined, standardized, and automated processes, significantly improving both data and code quality