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Cross-System Visibility in Pharmaceutical Quality Management

A strategic framework for connecting quality systems to improve compliance posture, accelerate investigations, and enable data-driven decisions.

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Executive Summary

Pharmaceutical quality teams operate across an average of 5-7 disconnected systems daily. This fragmentation creates compliance risk, slows investigations, and prevents data-driven decision making. This whitepaper examines the root causes of system fragmentation and presents a practical framework for achieving cross-system visibility without replacing existing investments.

Key Findings

67%

of quality teams spend more than half their time searching for information across systems

3-5 days

average time to complete impact assessments for supplier changes

4x

higher audit finding rate when data is manually reconciled between systems

75%

reduction in investigation time with unified visibility

The Problem: System Fragmentation

Typical pharmaceutical quality operations involve multiple specialized systems that evolved independently over decades. While each system excels at its core function, critical relationships between data points are lost in the gaps between systems.

Common System Landscape

Document Management

  • Veeva Vault
  • Documentum
  • MasterControl

Quality Events

  • TrackWise
  • Veeva QMS
  • SAP QM

ERP & Supply Chain

  • SAP S/4HANA
  • Oracle ERP
  • JD Edwards

Laboratory

  • LIMS (LabWare, STARLIMS)
  • Empower Chromatography
  • Stability Management

Impact on Operations

  • 1
    Delayed Investigations

    Investigators spend days gathering data from multiple systems before analysis can begin.

  • 2
    Audit Vulnerability

    Inspectors find inconsistencies when data is reconciled on-the-fly during audits.

  • 3
    Reactive Quality

    Without cross-system visibility, quality teams can't anticipate issues or see patterns.

  • +
    Additional impacts covered in full whitepaper

    Including regulatory submission delays, supplier management gaps, and recall response time

The Solution Framework

Cross-system visibility doesn't require replacing existing systems. Instead, it requires an orchestration layer that understands relationships between entities across systems and can traverse those relationships in real-time.

Architecture Principles

Semantic Data Model

Define entities (Product, Supplier, Batch, Document) and their relationships in a unified ontology.

Bi-Directional Connectors

Read from and write to source systems while maintaining data lineage and audit trails.

Real-Time Relationship Traversal

Query across systems in milliseconds to answer "what's affected?" questions instantly.

+

Additional architecture patterns in full whitepaper

Including event-driven workflows, AI-powered analysis, and compliance automation

Use Case Examples

Supplier Change Impact

A supplier notifies you of a manufacturing process change. Traditional approach: 3-5 days of manual investigation.

With visibility: 30 seconds

Deviation Investigation

A batch fails testing. Traditional approach: Manually search 4+ systems to build investigation timeline.

With visibility: Complete timeline auto-generated

Additional use cases in full whitepaper

Including audit preparation, regulatory submission support, and recall readiness

Implementation Roadmap

Cross-system visibility is achieved incrementally, starting with high-value connections and expanding as value is demonstrated.

Phased Approach

1
Foundation

Connect document management + ERP for supplier-material-document relationships.

2
Quality Events

Add quality event system for deviation-batch-product traceability.

3+
Additional phases in full whitepaper

Including laboratory integration, regulatory systems, and AI-powered workflows

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The full whitepaper includes detailed architecture diagrams, ROI calculation models, vendor evaluation criteria, and implementation playbooks.