Three colleagues discuss a data migration at a whiteboard listing source data, mapping, validation and trial migration

Preparing and guiding your ERP data migration

An ERP data migration calls for agreements on which data moves, who checks it and when it is ready for use. ERP Company supports you with data quality, trial migrations and the transition to your new system, so you can check in advance where adjustments are needed.

Data quality and governance

Trial migrations and validation

Secure data architecture

Why data migration often goes wrong

Data migration carries risk. Without a structured approach, an ERP migration can lead to data loss, quality issues or a delayed go-live.

Data migration is underestimated and executed ad-hoc without structure
Data quality problems are only discovered during or after migration
Mapping and transformation rules are unclear or undocumented
No trial migrations, making go-live a leap into the unknown
Master data governance is missing, causing quality to drop after go-live

How we approach data migration

ERP Company uses a structured, iterative approach to data migration. That way you see before go-live where the data is not yet right and what is needed to maintain data quality.

Structured approach per data domain with scope, mapping and cleansing steps

What does this deliver?

Go-live with migration procedures tested in advance
Higher data quality through structured cleansing and validation
Repeatable migration execution with automated load processes
Issues surface earlier through trial migrations before go-live
Lasting data quality through established governance processes

From our practice

In our experience...

Data migration is not only a technical task but also an organisational one: who owns which data, and who validates it? Agree on this early in the project, so these questions do not come up only at the end.

Data migration during an ERP transition is the controlled transfer of business data from the old to the new system. This part needs attention early, as data quality issues often only become visible during migration.

Data management covers the structural assurance of data quality, ownership and governance. This is essential because the reliability of reports, processes and decision-making depends entirely on correct master data.

Frequently asked questions about data migration

We start with a thorough data audit per domain and define clear mapping rules. All transformations are validated and tested across multiple trial migrations. Exit criteria for completeness, reconciliation and performance ensure we only migrate when everything checks out. Backup and rollback procedures are agreed in advance.

Master data governance covers the processes, roles and rules for managing critical master data such as customers, suppliers and products. We set up workflows for data creation, modification and archiving. This helps you maintain data quality after go-live and keep data consistent across systems.

We start with a data quality assessment to identify problems. Then we design cleansing rules and transformations to make the data fit for the new system. Where data cannot be salvaged, we document this explicitly and agree on how to handle it in the new environment.

We can migrate both current and historical data, depending on your needs and compliance requirements. For historical data we often design a separate archive structure to optimise performance. We advise on the right balance between availability and system performance.

Get more information or schedule a conversation

Have a question about your data, migration or data quality? Our specialists are happy to help you find the right approach. Submit your question and we will schedule a meeting.

Data Management & Migration Request

Fill in the form below. We will contact you to discuss your data question.

Direct contact

WhatsApp

085 060 7626

Location

Dorpstraat 71
5595 CD Leende
Netherlands

Contact

We will get back to you about your request. For urgent matters, you can call us directly.