
Data management for strategic decisions
Turn raw data into usable insights. Strategic data management covers data quality, governance and analytics that support decision-making at every level.
Data quality and governance
Advanced analytics and insights
Secure data architecture
Why data migration often goes wrong
Data migration is high-risk. Without a structured approach, ERP migrations regularly lead to data loss, quality issues or delayed go-live.
How we approach data migration
ERP Company uses a structured, iterative approach to data migration. Our methodology delivers a predictable go-live while maintaining data quality.
Structured approach per data domain with scope, mapping and cleansing steps
What does this deliver?
From our practice
A practical example
A food ingredients wholesaler started an ERP migration and discovered that 30% of their item master data contained duplicates or outdated records. The data migration time doubled. In hindsight: "We should have cleaned up sooner." We hear that often.
In our experience...
In our experience, data migration is the most underestimated part of any ERP project. Not technically, but organizationally: who owns which data? Who validates? Companies that think about this early save weeks at the end of the project.
Data migration during an ERP transition is the controlled transfer of business data from the old to the new system. This is the most underestimated part of an ERP project, as data quality issues 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 always in place.
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 prevents data quality from declining after go-live and keeps 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.
A full migration takes 6-16 weeks depending on data volume and complexity. We minimise risks through a phased approach, extensive testing and multiple trial migrations. We work with clear go/no-go criteria and always have a rollback scenario ready.
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.
Related topics
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Direct contact
Location
Dorpstraat 71
5595 CD Leende
Netherlands
Response time
We strive to respond within 24 hours. For urgent matters, you can call directly.