All Insights Case Study Building a Scalable Data Governance Foundation: The Modernization Journey of a Global Pharma
Building a Scalable Data Governance Foundation: The Modernization Journey of a Global Pharma
Building a Scalable Data Governance Foundation: The Modernization Journey of a Global Pharma
A leading pharmaceutical company modernized its data platform and governance framework to unlock speed, trust, and compliance.

A top global pharmaceutical organization was facing critical data management roadblocks that slowed operations, eroded trust, and increased regulatory risk. With growing data complexity across commercial, clinical, and supply chain functions, slow data processing, inconsistent reporting, and fragmented ownership made it difficult to act quickly or confidently.
To address these challenges, the company partnered with Axtria to design and implement a modern data platform and enterprise-wide governance framework, turning data into a strategic advantage.
The organization struggled with:
- Slow Data Cycles: Core data loading processes took up to a week per cycle, delaying analytics, regulatory submissions, and market insights.
- No Unified Quality Standards: Manual validation and inconsistent metrics caused widespread data errors and compliance risks.
- Weak Governance Controls: Absence of taxonomy, stewardship, and ownership made enforcing regulatory processes difficult.
- Inconsistent Reporting: Conflicting KPIs and definitions across teams led to misaligned strategies and confusion.
The goal was clear: modernize the data platform, create a robust governance model, and deliver trusted, timely, and compliant data across the enterprise.
Axtria served as a strategic partner to lead this enterprise-wide data modernization journey, bringing deep expertise in governance frameworks, platform engineering, and life sciences compliance.
- Migrated from a legacy data platform to Databricks for scalability and performance.
- Implemented Enterprise Data Catalog and Data Marketplace for discovery and reuse of governed data assets.
- Developed a standardized taxonomy and business glossary to harmonize KPIs and data definitions.
- Introduced policy-driven workflows for classification, approval, and publishing of data.
- Embedded change management and training programs for enterprise-wide adoption.
This initiative reduced data onboarding time by 50%, improved KPI accuracy, and created a governance-first culture, transforming data from a liability into a trusted, strategic asset.
With scalable frameworks, enterprise taxonomy, and role-based accountability, the organization is now ready to operationalize AI-driven insights and comply with evolving global regulations.
FAQs
The organization faced slow data cycles, inconsistent reporting, and compliance risks due to fragmented ownership and lack of standardized governance. Data ingestion took up to a week, quality checks were manual, and KPIs varied by function, leading to misaligned insights and increased operational overhead.
Axtria led a comprehensive data modernization and governance initiative that transformed the client’s legacy systems into a scalable, compliant ecosystem. This included migrating to Databricks, establishing an Enterprise Data Catalog and Marketplace, defining an enterprise-wide taxonomy and business glossary, and automating governance workflows. Axtria also embedded change management and stewardship programs, ensuring long-term adoption and accountability across commercial and R&D teams.
The solution included:
- Modernized ingestion pipelines to process diverse structured and unstructured datasets
- AI-powered orchestration for automation and performance monitoring
- Automated data profiling and quality frameworks with contextual DQ scoring
- Metadata enrichment for better discovery and classification
- Enterprise Data Marketplace for governed, policy-driven data access and reuse
Key results included:
- 50% faster data onboarding for HCP, claims, and sales datasets
- 90%+ DQ scores across priority domains
- 60% reduction in KPI disputes with standardized definitions
- Lower compliance risk through policy-driven governance and stewardship
- Accelerated access to insights for commercial analytics and R&D teams
The roadmap focuses on global expansion and AI readiness:
- Extending governance to oncology and other therapeutic areas
- Implementing AI governance frameworks for model oversight
- Automating anomaly detection and data observability
- Scaling governance across Japan and EMEA commercial units
- Supporting GenAI integration with governed outputs and prompt management

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