Microsoft Fabric Data & AI Platform For Healthcare / Life Sciences

Life Sciences, Pharmaceutical, Biotech and Biosciences organizations operate in a highly regulated and data-intensive environment. Data often resides across ERP-SAP S/4HANA, Clinical Trial Management Systems-CTMS, Quality Management Systems-QMS, other secondary systems like-PharmaCloud, GForce, MARG, Kennect, Veeva, IQVIA, Excel files, and third-party systems, leading to fragmented reporting, compliance risks, and delayed decision-making. Credenca helps Life Sciences, Pharmaceutical, Biotech and Biosciences enterprises build a secure, governed, and AI-ready modern data platform using Microsoft Fabric.

Our approach enables: • Unified ingestion from SAP, CRM, QMS, CTMS, MES, Pharma systems, APIs, and flat files • Lakehouse architecture (Bronze, Silver, Gold layers) • Enterprise Data Warehouse for governed reporting • Power BI dashboards for Sales, Field Force Effectiveness, Distribution, and Finance • Predictive analytics (demand forecasting, secondary sales analysis, inventory optimization) • Microsoft Fabric Copilot Enablement • Data governance and compliance using Microsoft Purview • DevOps-enabled deployment and cost optimization

We design the platform with scalability, compliance, and AI-readiness at the core, ensuring Life Sciences organizations move from reactive reporting to proactive intelligence. This engagement aligns with Microsoft Fabric, Power BI, Azure AI, and Microsoft Purview capabilities, enabling seamless integration within the Microsoft ecosystem.

Engagement Approach:

Phase 1: Strategy & Assessment • Current landscape analysis • Data source assessment • Compliance and governance review • AI/Analytics use-case identification

Phase 2: Microsoft Fabric Implementation • Data ingestion pipelines • Lakehouse & Data Warehouse setup • Security & governance configuration

Phase 3: Analytics & AI Enablement • Power BI dashboard development • Predictive analytics implementation • Copilot enablement

Phase 4: Managed Services (Optional) • Continuous monitoring • Enhancement & optimization • Governance enforcement

Key Deliverables • Fabric Architecture Blueprint • Ingestion Pipelines • Bronze/Silver/Gold Data Layers • Enterprise Semantic Model • Power BI Executive & Functional Dashboards • AI/ML Use Case Prototype • Governance & Security Framework • Documentation & Knowledge Transfer

Business Outcomes:

After engagement, customers achieve: • Single source of truth across enterprise systems • Automated, governed reporting • Improved field force visibility • Faster demand forecasting • Reduced manual data reconciliation • AI-ready compliant data foundation