Data Governance Project for a Steel Enterprise


Project Background: 

Due to the complex organizational hierarchy, the enterprise suffered from severe information silos, making it difficult to accumulate and extract value from data, thereby significantly impacting the realization of IT digital transformation. The enterprise faced challenges in adapting to future business model innovations and rapid market demand changes.


Solution and Results: 

By employing domain-driven design methods, the project planned the business and marketing dual-middle-office architecture for Baosteel. It streamlined business rules, utilized big data accumulation combined with AI and cloud services to achieve enterprise intelligence, reduce costs, and enhance competitiveness.