Source assessment
Inventory the available exports, file formats, data owners, record counts, and legal retention needs.
- Export inventory
- Dataset classification
- Scope and ownership
Assess the source, map each dataset, run a non-destructive dry run, resolve exceptions, reconcile balances, and approve cutover with evidence.
Vendor-specific support and timing are confirmed only after Lexuno assesses the actual export, fields, volumes, and reconciliation requirements.
Inventory the available exports, file formats, data owners, record counts, and legal retention needs.
Map source columns to destination fields with explicit handling for unknown, duplicate, and invalid values.
Simulate the import without presenting migrated records as accepted operational data.
Compare counts and sensitive balances, resolve variances, and record acceptance before cutover.
A migration becomes trustworthy when each stage produces evidence for the next.
Confirm source access, export quality, scope, retention, risks, and accountable owners.
Approve dataset and field mappings, transformations, identities, and exception rules.
Import into an isolated validation path and reconcile counts, balances, and relationships.
Resolve blockers, sign the reconciliation evidence, and schedule the governed transition.
A responsible migration page distinguishes an implemented process from an unverified vendor or production claim.
An adapter in source code does not prove that every vendor version or customer export can migrate automatically.
Completeness must be demonstrated through counts, exceptions, relationships, samples, and financial reconciliations.
Duration depends on exports, volumes, cleansing, mappings, approvals, and unresolved source issues.
Source records and mandatory retention evidence remain protected throughout assessment and cutover.
Questions about source exports, dry runs, vendor support, reconciliation, and migration acceptance.
No universal migration should be promised before the actual export, vendor version, fields, volumes, and data quality have been assessed.
The migration architecture includes generic CSV and workbook pathways, but support for a particular export is confirmed through assessment and a successful dry run.
Acceptance should include record counts, exception resolution, general-ledger checks where applicable, debtors, WIP, trust balances, and responsible sign-off.
Timing depends on source access, export quality, dataset volume, mapping complexity, cleansing, dry-run results, reconciliation, and approval availability.
A migration plan should preserve source access and required records until retention, acceptance, rollback, and cutover decisions are formally resolved.
Request a migration assessment before relying on vendor, format, completeness, or timeline assumptions.