Building trust and empowering decisions with smarter data governance
A leading US pharma firm faced fragmented systems, siloed data, and inconsistent metadata, limiting visibility, ownership, and compliance. Lacking centralized governance and clear roles led to inefficiencies, errors, and FDA compliance risks. The company sought a robust governance model to define ownership, standardize practices, and enable confident, data-driven decisions.
Key challenges
Undefined data ownership and roles
No lineage or visibility across systems
Limited data quality and standardization
Inconsistent or missing metadata management
Lack of data governance awareness and training
The solution
Framework foundation
Defined ownership
Standardized taxonomy Defined ownership
Created architectural guidelines
Introduced metadata and tracking
Cultural adoption
Trained workforce
Established collaboration
Promoted governance mindset
Enabled data-driven engagement
1
Insight and design
Analyzed silos
Identified maturity gaps
Designed a scalable governance model
2
Enablement and execution
Formed governance councils
Deployed standards
Defined roles
3
Sustainability and adoption
Embedded KPIs
Drove awareness
Empowered data teams
Governance
Efficiency
Faster access to trusted data
Streamlined decision-making
Compliance
FDA-ready data standards
Reduced audit and risk exposure
Culture
Governance embedded in daily workflows
Data confidence as an enterprise mindset
