Data Migration Validation

Overview

Data migration is a critical activity when organizations replace, upgrade, consolidate, or modernize computerized systems. Poorly controlled migration can result in missing records, altered values, broken relationships, incomplete metadata, or loss of traceability.

Mediature GxP Solutions Pvt. Ltd. (MGS) supports pharmaceutical, biopharmaceutical, API, medical-device, laboratory, CRO, pharmacovigilance, and other regulated organizations with planning, risk assessment, mapping, testing, reconciliation, verification, documentation, and final approval of GxP data migrations.

Our approach focuses on data completeness, accuracy, integrity, traceability, transformation control, reconciliation, exception management, security, and continued accessibility throughout the migration lifecycle.

Our Data Migration Validation Services

Migration Strategy & Planning

Development or review of migration strategies defining scope, source and target systems, responsibilities, data categories, validation requirements, cutover approach, and acceptance criteria.

Data Inventory & Classification

Identification and classification of data to be migrated, including master data, transactional records, metadata, audit information, attachments, historical records, and configuration-related data where applicable.

Data Mapping Review

Assessment of source-to-target field mapping, data types, formats, relationships, transformations, defaults, and business rules.

Migration Risk Assessment

Identification of risks related to data loss, corruption, truncation, duplication, incorrect transformation, broken links, or incomplete metadata.

Data Cleansing Assessment

Support for controlled handling of duplicate, obsolete, incomplete, inconsistent, or incorrect source data before migration.

Migration Test Strategy

Development of risk-based testing approaches covering extraction, transformation, loading, reconciliation, and target-system verification.

Trial Migration Support

Support for dry runs or test migrations to identify issues before final production migration.

Data Reconciliation

Verification that required records and values have been transferred completely and accurately between source and target systems.

Transformation Verification

Assessment of calculated, converted, reformatted, or transformed data to confirm that migration rules were applied correctly.

Exception Management

Documentation, assessment, investigation, correction, and closure of migration discrepancies or failed records.

Cutover & Go-Live Support

Support for final migration, controlled system transition, verification, issue tracking, and release readiness.

Post-Migration Verification

Confirmation that migrated data remain accessible, searchable, readable, correctly linked, and suitable for intended use in the target system.

Types of Data We Can Support

Depending on the system, migration may include:

• Master data
• User data
• Quality records
• Laboratory data
• Manufacturing records
• Pharmacovigilance cases
• Regulatory records
• Controlled documents
• Training records
• Audit records
• Equipment records
• Validation records
• Metadata
• Attachments
• Historical records
• Electronic signatures, where applicable
• Audit-trail information, where technically and procedurally appropriate

Key Migration Considerations

MGS may assess:

• Source-system reliability
• Target-system configuration
• Data ownership
• Record criticality
• Data volume
• Data formats
• Field mapping
• Metadata
• Record relationships
• Date and time formats
• Units of measure
• Reference data
• Transformation rules
• Duplicate records
• Missing data
• Truncated data
• Attachments
• Security
• Access control
• Reconciliation
• Exception handling
• Backup
• Rollback strategy
• Archival
• Record retention
• Auditability
• Continued accessibility

Our Approach

• Define

Identify migration scope, systems, data sets, responsibilities, business requirements, and regulatory considerations.

• Assess

Evaluate data criticality, mapping complexity, transformation risks, source-data quality, and potential impact of migration errors.

• Plan

Develop the migration and validation strategy, reconciliation approach, test requirements, acceptance criteria, and exception-handling process.

• Test

Perform or support trial migrations, mapping verification, transformation testing, and data reconciliation.

• Migrate

Support controlled production migration, issue tracking, reconciliation, and cutover activities.

• Verify & Release

Confirm completeness, accuracy, accessibility, traceability, and suitability of migrated data before final approval.

Deliverables

Depending on scope, MGS can provide:

• Data Migration Plan
• Data inventory
• Source-to-target mapping
• Migration risk assessment
• Data cleansing assessment
• Migration validation strategy
• Test scripts
• Trial-migration records
• Reconciliation reports
• Transformation verification
• Exception log
• Deviation documentation
• Cutover checklist
• Post-migration verification
• Data Migration Report
• Validation Summary Report
• Migration-status tracker

Why Choose MGS

Data-Integrity Focus

MGS evaluates migration from the perspective of completeness, accuracy, traceability, and continued reliability of GxP records.

Risk-Based Verification

Testing effort is prioritized according to data criticality, migration complexity, and potential compliance impact.

CSV Integration

Migration validation can be integrated with broader computerized-system validation and system implementation activities.

Practical Reconciliation

Our approach focuses on demonstrating that required records and critical values have been transferred correctly, not simply that a migration process ran successfully.

Lifecycle Perspective

MGS considers source-system retirement, target-system operation, archival, retention, and future accessibility as part of migration planning.

Who We Support

MGS can provide data migration validation support for:

• Pharmaceutical manufacturers
• API manufacturers
• Biopharmaceutical organizations
• Medical-device companies
• Laboratories
• CROs
• Pharmacovigilance organizations
• Quality departments
• Regulatory teams
• IT and digital teams
• Organizations replacing legacy GxP systems

Sites consolidating or upgrading computerized systems