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Data Platform Modernization for a Pharmaceutical
We modernized a pharma company’s data ecosystem using Microsoft Fabric, spanning sales, finance, and supply chain domains. This reduced report refresh time by 90%, tripled new data source integration speed, ensured 75%+ data definition accuracy, and doubled cross-functional reporting efficiency.
The Challenge
Our client is a leading pharmaceutical company which develops, produces and markets new molecules in pharma. It’s six subsidiaries faced data management issues and disjointed reporting infrastructure.
- Disconnected reporting silos: Limited data integration and inefficient workspace management hindered comprehensive analysis and decision-making.
- Poor data governance: Difficulties in tracking data lineage and ownership across departments compromised data quality and consistency.
- Lack of traceable ETL/ELT layer: This deficiency affected the overall quality and consistency of data across the organization.
Our Solution
We developed a comprehensive modernization strategy leveraging Gen AI and Microsoft Fabric:
- Stakeholder Workshops: We conducted sessions to define key success factors and KPIs, ensuring alignment with business objectives.
- Two-Dimensional V-Shaped Architecture: We designed a Microsoft Fabric-powered architecture that carefully considered each data point and its intersections.
- Sprint-Based Implementation: The project was divided into digestible segments, mitigating scope creep and ensuring frequent stakeholder updates.
The Impact
Our data modernization solution delivered significant benefits:
- Enhanced Performance: Reduced report refresh time by 90%, dramatically improving data accessibility and analysis speed.
- Increased Agility: Adding new data sources/domains became 3 times faster, enhancing the company’s ability to adapt to changing data needs.
- Improved Data Consistency: Delivered consistent data definitions with >75% accuracy, enhancing data reliability across the organization.
- Operational Efficiency: Doubled the efficiency of report reconciliation, validation, and cross-functional reporting processes.
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