For the content migration to be successful, it needs to be planned with consideration and cooperation.

One of the key factors during the planning stage is to ensure that documents linked with each other in the source system get migrated over to the target system correctly.

What to consider when migrating linked content

Whether the volume of content that needs to be migrated over to the target system is in gigabytes or terabytes, what matters is that the content stays linked in the way it currently is in the source system.

Legacy ECM systems have their own bespoke ways of building hyperlinks within documents, which modern CSPs may not necessarily follow, as these probably have a smarter and faster methodology.
If there is a lot of linked content that needs to be migrated over, then it could slow down the overall migration process if this was to be done manually.

Introducing automated link resolution

The good news is that the way to overcome this issue is with automated link resolution.

The ideal content migration tool would identify linked documents during the content analysis stage and then automatically resolve any discrepancies between the way the documents are linked in the legacy ECM system and the target CSP to make the migration process more seamless and streamlined.

Automatic link resolution is key for a successful SharePoint migration, especially when moving terabytes worth of content from legacy source systems, such as File Shares, which has content with many links within MS Office formats.

The ideal automated link resolution tool

Proventeq is one of the very few migration vendors that can facilitate automated link resolution when migrating over content from legacy ECM systems, such as iManage, IBM FileNet, Documentum, File Shares and many others, to modern CSPs.

Our Migration Accelerator solution comprises a content analysis tool – called Content Analyser – that provides rich reports about the density of hyperlinked content existing within the source system during the pre-migration stage of a project.

It can also help your organization understand the full content landscape that would need migrating over; identifies duplicate content and file usage; extracts named entities to help build information with NLP-based text as well as help bring down overall licensing and migration costs.

Speak to us today and learn how your organization will benefit.

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