Top 10 Data Migration Risks

Below are ten of the most common data migration perils that IT departments and migration project teams encounter in real-world environments. 

1. Data Loss During Migration

Data migration sometimes sounds simple, but the devil is in the details — especially when you’re dealing with complex dependencies, versioned documents and large-scale file systems. 

It’s usually not a case of files just not transferring. The real risks come from subtle misconfigurations that can break workflows downstream. For instance, files that are checked out or locked during migration can silently skip changes or create phantom versions, while metadata misalignment can disrupt SharePoint views, search indexing or compliance reporting (as another of many examples). 

Permissions are another hidden hazard: ACLs (Access Control Lists) that look simple in the source environment may map incorrectly when migrating, for example, to SharePoint Online, leaving sensitive content exposed or inaccessible to the teams that rely on it. 

The underlying risk (mismatched permission models between source and target systems) is common in migrations, but in SharePoint Online, it is especially acute because of differences between legacy file share inheritance and SharePoint’s site, library and group-based security model. 

The goal isn’t just to move your data. It’s to make sure the environment behaves exactly as expected once users start working. That means you need to catch issues before they become visible problems. 

2. Broken File Links

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3. Incomplete Data Transfers

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4. Metadata Loss

5. Permission and Access Issues

Migrating data between platforms often means translating complex user permissions from one system to another. If permission mappings aren’t configured correctly, users can suddenly lose access to critical documents, or worse, gain visibility into sensitive content they shouldn’t see. 

The challenge is magnified in environments with nested groups, inherited permissions or custom roles, where a single misalignment can cascade across hundreds or thousands of files. 

6. Application Integration Failures

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7. Unexpected Downtime

8. Data Integrity Problems

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9. Hidden System Dependencies

10. Lack of Migration Planning