What ERP data migration actually costs, the six steps that keep a go-live on schedule, and why dirty source data is the real risk in 2026.
An ERP data migration typically costs $5,000 to $50,000 as a standalone project when you move master data, open balances, and two to three years of transaction history. Complex migrations with multiple legacy systems and eight or more years of records run $50,000 to $100,000 and up. The number is not set by how many records you move. It is set by how dirty the source data is and how many business rules you have to translate into the new system.
Data migration is the part of an ERP project most teams push to the end, and it is the part most likely to break the go-live date. Gartner puts the share of data migration projects that fail or exceed their budget and schedule at 83%. The Bloor Group measured cost overruns averaging 30% and time overruns averaging 41%. The work is unglamorous, but it decides whether your new ERP opens clean on day one. This guide covers what the work costs, the steps that keep it on schedule, and what to migrate and what to leave behind.
The ranges below come from ERP consultancies and pricing tools published in 2025 and 2026. Treat them as planning ranges, not quotes; a real number needs a look at your source data.
| Migration scope | Typical data | Planning range |
|---|---|---|
| Basic | Customers, vendors, chart of accounts, open balances | $5,000 to $15,000 |
| Standard | Item records, inventory balances, open orders, open invoices | $15,000 to $50,000 |
| Complex | BOMs, routings, multi-year history, multiple entities | $50,000 to $100,000+ |
A second way to size the budget is by how much history you move. Pricing tools that measure by data age put two years or less at $5,000 to $12,000, three to seven years at $12,000 to $30,000, and eight-plus years across multiple systems at up to $75,000.
Five things move the number most. The number of source systems and how different their schemas are. Data quality, because every duplicate and missing field costs someone manual time. The volume of business rules and transformation logic, such as remapping cost centers or currency. The reconciliation effort, because someone has to sign off that balances match. And the cutover window, because a short freeze forces more parallel work and more rehearsal.
Most failures trace back to data quality. Gartner names poor data quality as the top reason ERP projects fall short. Duplicate customer records, missing phone numbers, inventory counts that do not match the warehouse, three different date formats across two systems. None of this blocks a demo, so it gets discovered in the final weeks, when there is no time to fix it.
The other common mistake is treating migration as a side project. Teams keep running the business while a few people migrate data in the gaps, and the schedule quietly slips. Panorama Consulting found about half of organizations significantly underestimate migration cost during planning. In Godlan's 2026 research across discrete-manufacturing implementations, poor data migration drove 38% of failures. The fix is boring: start the data work in week one, not the month before go-live.
Master data is not optional: customers, vendors, items, the chart of accounts, and the general ledger structure all move. Open transactions move too, including open AR and AP, open orders, work orders, and projects. Historical transactions are where you make a judgment call. Migrate a rolling window of two to three years so reporting has context, and archive the rest in a read-only store.
Use the migration as a reason to clean house. Consolidate duplicate vendors, archive items nobody has ordered in two years, and confirm the active customer list. Every dead record you migrate into a fresh ERP is a record someone has to maintain from day one.
We start by profiling the source data before writing any migration code, because the profile tells us whether the project is a clean lift or a cleanup job first. Then we build the extract, transform, and load pipeline, and generate reconciliation reports that a finance or operations lead signs off on, not just the engineering team. We rehearse the cutover on a copy of the data before the real one. This is the same discipline we apply to the accounting and financial management systems we build, where a wrong opening balance is not an inconvenience but a restatement. If you are also weighing whether to build or buy your next ERP, our custom ERP vs SAP vs Odoo comparison and ERP development cost guide walk through the decision, and our enterprise software development team can scope the migration itself.
A basic migration usually takes two to six weeks. A complex one with multiple source systems, heavy transformation, and a full reconciliation cycle commonly runs two to four months. The schedule is set less by record volume than by how many dry runs and reconciliation passes the business requires.
As a standalone line item, a basic migration runs $5,000 to $15,000, a standard one $15,000 to $50,000, and a complex one $50,000 to $100,000 and up. These are planning ranges; the real number depends on source-data quality and the volume of business rules.
Yes. Most companies migrate master data and open transactions, then carry a rolling window of two to three years of history and archive the rest. Migrating less history lowers cost and gives you a chance to drop dead records.
Dirty source data. Duplicates, missing fields, and inconsistent formats usually surface in the final weeks, and fixing them then is expensive. Profiling and cleaning the data early is the single highest-value step in the whole project.
Not for the whole project, but you need a defined freeze window before go-live so the data does not change under the migration. A short, clearly communicated freeze, with a rollback plan behind it, is safer than trying to migrate live data.
Business users own the data decisions and the final sign-off; engineers own the pipeline. Finance and operations need to reconcile the numbers, not just confirm that rows moved. Splitting it this way is what separates a migration from a data copy.
Planning an ERP change or a new system that needs clean data on day one? Talk to us about your project. GlobeSoft is a software development company based in Shenzhen, China, with 40+ engineers who have delivered 300+ projects for 100+ clients, including financial, ERP, and property management systems. We can profile your source data, scope the migration, and give you a written estimate.
GlobeSoft builds custom software, AI applications, SaaS, FinTech and enterprise systems for clients worldwide. Message us on WhatsApp for the fastest answer, or email us — we typically reply within 24 hours.
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