The Problem: Data Silos Across Every Enterprise System
Life Sciences companies operate complex, heterogeneous IT landscapes: SAP for ERP, Veeva for CRM and regulatory, LabWare or STARLIMS for laboratory operations, Siemens or Rockwell for manufacturing execution, and dozens of specialized applications. Each system maintains its own master data — materials, products, suppliers, customers — with inevitable inconsistencies. These silos create operational friction (manual reconciliation), compliance risk (inconsistent regulatory submissions), and decision-making blind spots (no single source of truth).
The Solution: AI-Powered Entity Resolution and Conflict Detection
ML-based entity resolution algorithms identify records across systems referring to the same real-world entity despite different naming conventions, codes, and hierarchies. AI detects and resolves conflicts — duplicate material records, inconsistent batch genealogies, misaligned organizational hierarchies — automatically, with human-in-the-loop review for ambiguous cases. Continuous learning improves matching accuracy over time.
The Approach: Incremental Integration With Measurable ROI
- 90% reduction in manual data reconciliation effort across 6+ enterprise systems
- Single source of truth for regulatory submissions — eliminating data consistency findings
- Real-time cross-system data quality dashboards with automated alerting
- Foundation for advanced analytics and AI initiatives requiring integrated, trustworthy data
How ANG Associates Can Help
ANG Associates has extensive experience managing complex data integration programs across pharma IT landscapes. We understand the nuances of SAP, Veeva, LIMS, and MES integrations in regulated environments. Our program management expertise ensures these multi-system, multi-vendor initiatives are delivered systematically — with clear governance, risk management calibrated to GxP impact, and measurable milestones that demonstrate ROI to business and IT stakeholders alike.