Data scope
Define master data, open items and historical records that are actually needed.
A migration project should decide what must move, what can remain archived and how balances and master data will be validated. Moving everything without a business reason often increases complexity.
We clean and map approved data, run test imports and reconcile counts and balances before the final cutover so the new system starts from a controlled baseline.
Define master data, open items and historical records that are actually needed.
Normalize source data and map it to the correct Odoo fields.
Load a sample or complete trial dataset for business validation.
Compare counts, quantities and financial balances before final cutover.
Review the current ERP, files and data quality.
Define tables, fields, transformations and exclusions.
Load into a test environment and validate samples and totals.
Freeze agreed source changes, complete the final load and reconcile.
Yes, when files can be cleaned and structured into a reliable import format.
Not always. Many companies migrate master data and open balances while retaining older history as an archive.
We reconcile agreed reports, totals, balances and quantities before approving go-live.
A short controlled overlap can help, but prolonged dual entry increases data differences. A clear cutover point is usually better.
Tell us your industry and most important challenge and we can start with a focused demo or discovery session.