#automateddatavalidation

Manual data validation is slow, expensive, and prone to the granular errors that surface as business failures after migration is complete. Onix Pelican replaces it: an AI-powered automated data validation tool that performs cell-level scanning across the full migrated dataset in a single iteration — no custom code, no multi-pass review cycles, no subjective human bias. Cell-level accuracy, incremental validation for recurring datasets, and 360-degree mismatch reporting give migration teams the complete data quality assurance they need to decommission legacy systems with full confidence in what was migrated.

Data migration is not complete when data has moved — it is complete when data integrity is confirmed at the cell level. Manual validation cannot reliably deliver that confirmation at enterprise scale. Onix Pelican does: performing granular automated data validation across all migrated data in a single iteration, without custom validation code, across heterogeneous source environments. When Cisco applied this approach to their Google BigQuery migration with Onix's support, they cut validation costs by 50 percent and improved migration efficiency by 80 percent — proof that the right automated validation tool changes the economics of every cloud migration program it is applied to.