ERP data migration, from legacy discovery to validated mapping

Data reprise is the hardest part of an ERP project: the client hands over decades of legacy data, the people who built the source system are gone, and every mapping mistake surfaces after go-live. Datapace maps the source system first, proposes candidate mappings into the target, and routes every decision through a domain expert. Pick your target below for what the mapping resolves to.

Today. Weeks of mapping a legacy source by hand before a single record moves to the new engine, cloud, or ERP.

With Datapace. Datapace maps the source first and proposes candidate mappings into the target. Your experts validate before anything moves.

What Datapace does here

Discover the source system
Datapace resolves the legacy database into entities, relationships, and lineage, including the derived values and implicit keys that make old systems hard to read.
Candidate mappings, expert-validated
The Migration agent proposes how source fields map to the target model, with a confidence score. A domain expert approves or corrects each one; nothing moves without validation.
Findings before load
Duplicate keys across sources, mixed currencies, orphaned rows, and values that will not fit the target are surfaced with their impact while the mapping is still open.
An audit trail for every decision
Each accepted mapping is recorded with its rationale, so the migration is defensible to the client long after go-live.
The same map for an engine or cloud move
When the target is a new engine or cloud rather than a new ERP, the validated map is what the move is planned and rehearsed against.

Questions teams ask

Does Datapace move the data?
Datapace produces the validated mapping, the findings, and the load order; the load itself runs through the tooling your project already uses. The point is that what runs has been validated by the people who know the business.
Which source systems can it read?
The relational databases behind the legacy system, whichever engine they run on, plus the spreadsheets and exports a client hands over. The source is resolved into one map before any target is discussed.
How do integrators use it across clients?
One map per client, with the mapping decisions and their rationale kept per engagement. The team reuses its method, not the client data.

See this on your own data

Bring a use case. We will show you what Datapace reads on your live database, what your experts would confirm, and what the agents would propose first.

Book a call