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Yangzijiang Pharmaceutical Builds a Governed BI Foundation for Group-Wide Analytics

Yangzijiang Pharmaceutical uses Guandata to support 16,000+ BI users, unify KPI and management definitions, separate domain permissions, and improve large-data processing and report output efficiency.

GROUP BI DATA GOVERNANCE 16,000+ USERS

Yangzijiang Pharmaceutical

Group-wide BI and data governance foundation for enterprise-scale analytics.

16,000+ BI users across the group 300% large-data processing improvement 70% shorter report output time

CLIENT CONTEXT

Founded in 1971 and headquartered in Taizhou, Jiangsu, Yangzijiang Pharmaceutical is one of China's leading pharmaceutical groups. Its business spans traditional Chinese medicines, Western medicines, biologics, medical devices and broader healthcare products, supported by 10+ production and research-and-development subsidiaries across multiple cities.

Enterprise scale: one of China's leading pharmaceutical groups; 19,000+ employees; 10+ production and research-and-development subsidiaries; 100+ products exported to 40+ countries and regions by the end of 2025.

As the group expands in healthcare, smart manufacturing and internationalization, BI cannot be only a dashboard layer. Yangzijiang needed one enterprise analytics layer for headquarters, subsidiaries and functions: group management required consistency and control, while business units needed analytics aligned with their operating responsibilities.

BUSINESS CHALLENGES

Rapid business and data growth created a group analytics challenge: many systems, entities, users and management definitions had to be governed without flattening business differences.

Headquarters needed group-level visibility; subsidiaries and functions needed role-appropriate analytics.

BI and reporting therefore had to evolve into a scalable group platform. KPI definitions, management definitions and master data had to be unified, while users, permissions, data resources and analytics content remained properly separated by department, subsidiary and domain.

GUANDATA SOLUTION

Guandata helped build a group-wide BI and data governance foundation, combining enterprise data warehouse setup, BI platform evolution, metric-system restructuring, departmental analytics optimization, unified KPI / management definitions, master data process rebuild and full-chain process analytics.

A core differentiator was multi-tenant / domain governance. Guandata enabled subsidiaries, departments and business domains to separate users, permissions, data resources and analytics content, while aligning to group definitions, reusable assets and centralized governance.

SELECTED ANALYTICS SCENARIOS

Enterprise data warehouse Metric-system restructuring
Unified KPI definitions Master data process rebuild
Departmental analytics optimization Full-chain process analytics
Multi-entity permission governance

BUSINESS IMPACT

The project moved Yangzijiang from fragmented reporting toward a governed, scalable group BI foundation. In-scope core business system data was aligned under unified definitions, while report output time was reduced and large-data processing performance improved.

The platform reached 16,000+ BI users. Reported project-scope outcomes included fully integrated in-scope core business data, 300% improvement in large-data processing performance, 70% shorter report output time and 20% improvement in decision timeliness.

Beyond efficiency, the case shows BI becoming a shared management language: headquarters strengthened common definitions and governance, while subsidiaries and functions used analytics in their own operating contexts without creating isolated report silos.

DATA & PROCESS SCOPE

Covers headquarters, subsidiaries, departments and business domains.

Aligns group definitions while separating users, permissions, data resources and analytics assets.

KEY TAKEAWAY

This case shows how a governed BI foundation can scale analytics adoption across many entities while preserving business-domain separation and unified group definitions.

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