Knowledge BaseData Integrity
Data Integrity
Cross-checks, validation, schema drift detection, and resilience.
Trial Balance Cross-Check
How VersionForge reconciles source totals against target totals after every sync to catch discrepancies before they reach your planning models.
Data Resilience and Null Remediation
How VersionForge handles messy real-world data -- null fields, inactive references, broken hierarchies, and prior-period adjustments.
Schema Drift Detection
ImplementerHow VersionForge detects when source system fields change between syncs and prevents silent data loss from undetected schema modifications.
Canonical Hashing for Change Detection
ImplementerHow VersionForge creates deterministic row hashes to efficiently detect what changed between sync snapshots.
Post-Extraction Validation
ImplementerThe validation checks VersionForge runs after pulling data from a source system to catch data quality issues before they enter the pipeline.