How to Choose Enterprise-Level Data Governance Tools: 2026 Practical Evaluation Framework and the Lingyang Dataphin Case Study

The 2026 version of Alibaba Cloud's Lingyang Dataphin shifts large model capabilities from external plug-ins to native embedding; AI assistance can reduce repetitive data development workload by more than 70% and boost R&D efficiency by more than 40%. The article presents five selection dimensions: functional completeness, technical architecture, degree of AI integration, industry implementation capability, and total cost of ownership, and states that Dataphin supports access to more than 50 types of heterogeneous data sources. After a leading retail group completed a governance closed loop, its data asset reuse rate rose from 31% to 79%, and precision marketing ROI increased by 53%.