Migration failures are rarely caused by the move itself. They are caused by insufficient validation of what was moved, how it was transformed, and whether it arrived intact.
The most dangerous failure mode is silent data corruption — when a migration completes "successfully," row counts match, and green lights appear across the board, but the data itself is broken. Character encoding changes, numeric precision loss, datetime conversion errors, and referential integrity failures can all pass a basic count check while corrupting the underlying data. By the time the problem surfaces in a report or a business decision, fixing it costs orders of magnitude more than catching it before cutover.
Forte Group's migration quality controls include:
Pre-migration data profiling
characterizing source data for completeness, consistency, format anomalies, and business rule compliance before extraction begins.
Transformation logic validation
verifying that every mapping, cleansing rule, and business logic translation produces the intended output, documented and testable.
Reconciliation frameworks
automated row counts, hash comparisons, and statistical sampling to confirm source-to-target parity at field, record, and aggregate levels.
Referential integrity verification
enforcing foreign key relationships and cross-entity consistency throughout staging and load phases.
Cutover readiness checklists
structured go/no-go criteria that prevent premature production cutover when data integrity thresholds are not met.
Architecture quality reviews are conducted independently of implementation — providing an objective baseline before commitments are made.
