Data Management

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, 55% of ERP migrations lead to data loss, quality issues or 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. 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?

Predictable go-live through thoroughly tested migration procedures
Higher data quality through structured cleansing and validation
Faster migration execution through automated load processes
Fewer post-go-live issues through thorough trial migrations
Lasting data quality through established governance processes

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

Find out how a structured data migration can speed up your go-live and reduce risk. Schedule a no-obligation conversation with our experts.

Data Management & Migration Request

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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.