Cross-ERP Data Export and Handover Bridge

Getting data out is harder than getting it in

When a company decides to move off SAP Business One, split a legal entity, or start feeding a group consolidation system, the first discovery is that there is no clean export. The standard query tools give you tables, not a migration package. Business Partners come out without their addresses and contact persons attached in the right shape. Item master data arrives without the unit-of-measure groups, price lists and warehouse assignments the target expects. Open A/R and A/P sit inside document tables that also hold closed and cancelled rows. Inventory quantities are one query, inventory value is another, and the two do not agree unless you know exactly which valuation method each item uses.

So the work gets done by hand: a consultant writes queries, exports to spreadsheets, cleans them, discovers the target rejected 400 rows on a validation rule, goes back to the source, and repeats. Each cycle takes days, and the extract from week one no longer matches the live system by week three. When the cutover finally happens, nobody can prove the opening balances in the new system tie back to the old one.

What ECOSIRE builds for you

ECOSIRE builds a repeatable extraction and mapping bridge that runs against your SAP Business One company database and produces target-ready output files, along with the reconciliation evidence to prove they are complete.

Extractors for the objects that actually matter

We build typed extractors over the Service Layer (REST) and DI API for the object set agreed in scoping: Business Partners with addresses, contact persons, payment terms and control accounts; Items with unit-of-measure groups, item groups, barcodes, price lists and per-Warehouse stock; the Chart of Accounts with its hierarchy; open A/R Invoices, A/P Invoices, credit memos and down payments at line level; open Sales Orders and Purchase Orders; Journal Entry history for the periods you specify; Business Partner ageing as at a cut-off date; Bank accounts and house banks; and any User-Defined Fields and User-Defined Tables carrying data you cannot lose.

Mapping you control, not hard-coded guesses

Source-to-target mapping lives in configuration: field-level mapping tables, value translation lists (tax codes, payment terms, units of measure, currencies, country codes), default and fallback rules, and per-target field formatting. Where the target expects a code set you do not have, the mapping tables show every unmapped source value so you decide the translation rather than discovering it after a failed import.

Validation before the target sees the file

Each extract runs through validation rules before output: required fields present, referential integrity intact (every document line's Business Partner and Item exists in the accompanying master extract), numeric fields within target constraints, dates inside allowed ranges, character sets and field lengths respected. Failures are reported as a work list with the source document key so you can fix the record in SAP and re-run — instead of finding out at import time.

Reconciliation evidence, so the cutover is defensible

Every run produces control totals: record counts per object, debit and credit sums per G/L account, open A/R and A/P totals by Business Partner and by ageing bucket, inventory quantity and value per Item and Warehouse. Those totals are printed against the equivalent SAP Business One reports so you can demonstrate — to your auditor, your group finance team, or your new system's implementer — that the extract is complete and balanced as at the cut-off.

Target-ready formats

Output is produced in the formats your target actually consumes: delimited files with the target's own column names and ordering, Excel workbooks per object, JSON or XML payloads, or direct staging-table inserts. Where the target is another ERP, we shape the files to its documented import templates. Where it is a group consolidation or BI system, we shape to the schema your group provides.

Repeatable, because one run is never enough

The bridge is built to be re-run: an early full extract for target-side data cleansing, iterative extracts through the test-load cycles, a delta or full re-run at cutover weekend against the final cut-off. Each run is stamped and its control totals retained, so you can compare run to run and see exactly what moved.

Who this is for

Companies leaving SAP Business One for another ERP, groups carving out or selling a legal entity, businesses splitting one company database into several, and finance teams that must feed a group system on a recurring basis from a SAP Business One subsidiary. It is equally relevant to the implementation partner on the receiving side who has been handed a database and a deadline.

How delivery works

1. Scoping call. We agree the object list, the periods of history in scope, the cut-off strategy, and the exact target format — including the target's import templates or schema if you have them. We confirm your SAP Business One version, database platform and hosting.

2. Fixed quote. A written scope listing every object, every output file, the validation rules and the control totals, with a fixed price and delivery date.

3. Build. ECOSIRE develops the extractors, mapping configuration and validation rules against your database structure. Typical lead time is one working week depending on object count and how much value translation the target demands.

4. Install in test, then production. We install and run first against your test company, review the output and control totals with you and, where possible, with the receiving side. Mapping gaps found in that review are corrected before the same build is installed against your production company database.

5. Support. A support window covers defects, mapping additions discovered during your test loads, and standing by for the cutover run itself.

This is a data extraction and handover tool. It reads from SAP Business One and writes files; it does not perform the import into the target system, and it does not modify your SAP Business One transactional data.