ERP Data Migration Field Mapping
An ERP migration touches everything a business runs on at once, general ledger structure, inventory valuation, vendor and customer master records, open purchase orders, and the field mapping between old and new ERP is rarely a clean one-to-one, a chart of accounts gets restructured, inventory costing methods differ between systems, and vendor records carry historical payment terms that don't have an obvious home in the new schema. Migration projects are usually run to a hard cutover date set by the ERP vendor's implementation timeline, and when mapping gaps surface during testing close to that date, the pressure is to force a mapping through rather than resolve it properly, which is exactly how a general ledger goes live with accounts that don't reconcile.
STARTING PRICE
From €799
Complex tier · Multi-system orchestration, custom logic, and higher-volume or higher-risk processing.
Get a quote →Saves roughly 40-70 hrs on a mid-size ERP migration project, plus avoided post-go-live financial reconciliation cleanup.
How the automation works
We build the field-level mapping for an ERP migration starting from both schemas directly, general ledger and chart of accounts structure, inventory records and costing method, vendor and customer masters with their associated terms, rather than a spreadsheet built once early in the project and never revisited. Financial data gets a dedicated reconciliation pass, general ledger balances and inventory valuations are checked to tie out between old and new before cutover is approved, since a mapping that moves the data but changes the resulting balance is a finance-breaking failure, not a data quality nitpick. A staged test migration runs the full mapping against real records well ahead of the cutover date, so gaps surface with enough runway to resolve properly instead of forcing a shortcut under deadline pressure.
Process flow
- 01
Both ERP schemas pulled trigger
Live schema, chart of accounts structure, and master data definitions are pulled from both the source and target ERP, rather than working from implementation documentation alone.
- 02
Map fields and financial structures ai
Fields, the chart of accounts, and inventory costing structures are mapped between systems, with financial and inventory data flagged as high-scrutiny given the operational consequence of a mapping error.
- 03
Flag structural gaps and restructuring ai
Cases where the new system's structure genuinely differs (a restructured chart of accounts, a different inventory costing method) are flagged explicitly for finance/ops sign-off on the mapping logic, not resolved by a default assumption.
- 04
Financial reconciliation pass integration
General ledger balances and inventory valuations are checked to tie out between source and target after mapping, since a migration that moves the data but shifts the resulting balance is a critical failure.
- 05
Staged test migration ahead of cutover integration
The full mapping runs against real records in a staged environment well before the cutover date, so gaps surface with enough time to fix properly rather than under deadline pressure.
- 06
Finance and ops sign-off before cutover output
Reconciled results and any structural mapping decisions go to finance and operations leadership for explicit sign-off before the actual go-live cutover is scheduled.
Inputs
- Source and target ERP schemas and chart of accounts
- Inventory costing method documentation for both systems
- Vendor/customer master data with associated terms
- Cutover timeline and testing window
Outputs
- Field-level ERP mapping document
- Structural gap and restructuring decision log
- General ledger and inventory reconciliation report
- Staged test migration results with finance/ops sign-off record
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- A chart of accounts restructuring during ERP migration is one of the highest-risk mapping decisions in the whole project, mapping old accounts to new ones incorrectly doesn't just move data wrong, it changes reported balances, and errors here surface as finance discrepancies that are much harder to trace back to a mapping issue after go-live.
- Inventory costing methods (FIFO, weighted average, standard cost) often differ between the old and new ERP, and a naive field-level mapping that copies the cost value without accounting for the methodology difference will produce inventory valuations that don't tie out, even though every individual field 'migrated successfully'.
- Vendor records frequently carry negotiated payment terms, credit holds, or tax status flags that live in non-obvious fields or free-text notes in the legacy system, and a mapping built only from the formal schema will miss these, resulting in vendors migrated with default terms that don't match what was actually negotiated.
- ERP cutover dates are typically fixed early and rarely move, which creates real pressure to force through a mapping gap discovered late rather than resolve it properly, this is why the staged test migration needs to run with enough runway before cutover that a genuine problem has time to be fixed, not just documented as a known issue and shipped anyway.
Frequently asked questions
Does this include the general ledger and financial data, or just operational records?
Financial data, general ledger and inventory valuation specifically, gets a dedicated reconciliation pass because a mapping error there changes reported balances, which is a different order of risk than an operational field mapping mistake.
How early in the migration project should this start?
As early as the target schema is available, ideally well before the cutover date is fixed, since chart of accounts and costing method mapping decisions often need finance sign-off that takes time to gather.
What if the new ERP's chart of accounts is being restructured, not just relabeled?
That's flagged explicitly as a structural decision requiring finance sign-off rather than resolved by a default one-to-one mapping assumption, since restructuring changes what a given balance actually represents.
Can this run a test migration without touching the live production data?
Yes, the staged test migration runs in a non-production environment against real record copies, specifically so gaps can be found and fixed before anything touches the live cutover.