Without automated validation, even small discrepancies can go unnoticed until after go-live. Verify systematically compares migrated data against the source system, identifying inconsistencies in metadata and content integrity. This helps teams detect issues and avoid costly rework or compliance risks.
David Gwyn – Vice President, Strategy and Solutions
“Structured validation processes are essential to ensure that migrated data is complete, accurate, and ready for productive use. A systematic and well-documented approach helps create confidence in the migration outcome and reduces the risk of undetected data issues.”
Rawan Musleh – Business Analyst
“Effective validation practices help confirm data integrity, align outcomes with business requirements, and identify potential migration issues. This is particularly important in regulated environments, where data quality directly impacts compliance and operational reliability.”
Verify follows a structured validation workflow that is similar to the migration process of migration-center Migrate but instead of importing data, it compares source and target systems to ensure that transformation rules were applied correctly and that migrated documents match expectations.
1. Data extraction
Verify extracts and analyzes data from the source system to establish a reliable baseline. Objects are structured into validation sets aligned with the migration scope, ensuring a consistent foundation for all further checks.
2. Validation & comparison
Verify applies the same transformation and mapping rules used during the migration and validates them upfront. It performs a structured 1:1 comparison of source and target systems, ensuring metadata, content integrity, and correct transformation logic.
3. Verification results
All validation outcomes are consolidated into structured reports, providing transparent, traceable proof that migrated data meets expectations and complies with requirements.
Verify includes dedicated capabilities for metadata validation, transformation rule testing, content integrity checks, and structured discrepancy reporting. Each function is designed to enable systematic and repeatable migration verification for even the most complex of projects.
Metadata verification
Validate that target metadata matches the defined transformation and mapping specifications, test and confirm transformation rules before migration (and reuse tested rules), and identify mismatches and generate comparison reports.
Content integrity check
Compare content checksums between source and target repositories, verify both sampled and complete datasets to ensure no loss or corruption, and detect missing or mismatched objects automatically.
Comprehensive reporting
Export detailed Excel or CSV reports summarizing test results, comparisons, and discrepancies and document proof of validation for audits and compliance.
Fully integrated with migration-center
Leverage existing connectors, transformation logic, and repository integrations and ensure consistency across your entire migration process, from mapping to evidence.
Jose Carrion – Verification Lead
“In global migration scenarios, consistent validation standards are critical. Ensuring integrity, completeness, traceability, and compliance across all datasets requires a unified and well-coordinated verification approach, especially when multiple teams and regions are involved.”
Matthew Peterson – Business Analyst
“Transforming validation from a manual, error-prone activity into a scalable and repeatable process is key to achieving consistent and reliable results in migration projects. Standardization and automation play a crucial role in improving both efficiency and auditability.”
Manual verification methods often rely on sampling, spreadsheets, and time-consuming reviews. They quickly become inefficient and inconsistent at scale. Verify replaces manual effort with structured, automated source-to-target comparison, delivering measurable verification results.
Coverage
The manual approach is limited to samples and incomplete coverage whily Verify offers a fully automated verification across large datasets, full or sampled.
Comparison
While a manual approach utilizes manual spreadsheet reconciliation only, Verify automatically checks metadata for completeness and alignment with specifications.
Binary integrity
Only spot checks are available through manual approaches. Instead, Verify conducts checksum-based verifications with automatic mismatch detection options.
Audit evidence
Manual approaches usually offer only manual and inconsistent documentation. Verify on the other hand grants exportable, audit-ready reports with deviation logs.
Implementation time
Manual scripting or custom development is required choosing the manual approach, while Verify is an out-of-the-box solution enabling rapid deployment.
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What is you target platform?
Microsoft SharePoint | d.velop documents | OpenText Documentum CM | Hyland Alfresco | Box | Generis CARA | Veeva Vault | Microsoft OneDrive | File system | OpenText Content Management xECM | Sparta TrackWise Digital | OpenText Information Archive | Microsoft Azure Blob Storage | Hyland OnBase
