Some migration projects are tricky: complex infrastructure, legacy systems or huge volumes of data. Others are understaffed and simply don’t have enough hands on deck. In either scenario, this is where experienced migration consultants help reduce risk and keep the transition smooth.
Data migration is the process of moving data from one system, storage environment or application to another.
It’s commonly done during cloud adoption, system upgrades or infrastructure consolidation.
The most common data migration problems include:
- Broken links within documents, files and systems.
- Data loss or missing and corrupted files after migration.
- Incorrect, incomplete or missing metadata and permissions.
- Disrupted workflows and integrations.
- System downtime after migration.
Broken links are one of the most common and disruptive data migration issues.
Links break when files are moved and their original file paths or URLs change. Any document or system referencing those files will no longer be able to find them, which can disrupt workflows and access to critical information.
This problem is especially common in large or complex migrations with many interlinked files.
LinkFixer Advanced can automatically protect links before migration or repair links after migration.
To minimize data migration risk, organizations should:
- Assess and inventory their data.
- Identify dependencies such as file links.
- Run pilot migrations and testing.
- Validate data after migration.
- Use effective, reliable data migration tools.
Identifying link dependencies early is one of the most effective ways to prevent post-migration issues.
With the free trial of LinkFixer Advanced, organizations can scan their environments, detect file links and discover hidden dependencies so that risks can be addressed before migration starts.
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