Content Migration is complex; it is not simply a case of ‘lifting and shifting’ content from one content management system (CMS) to another. Web content is often inconsistently structured and spread across multiple locations and sites.
With this in mind, there is a growing requirement for content to be analyzed, enhanced and standardized prior to migration. The cost involved in manually reviewing and migrating content can be significant; but it can be minimized through the use of software to perform automatic analysis and migration – a solution recently provided by Vamosa for the Department of Health and Ageing of Australian Government (DoHA).
DoHA needed to migrate from their legacy CMS to IBM WCM within just eight weeks in order to achieve better control of their internet sites. Vamosa recommended a solution that involved an automatic cleanup and enhancement of their content. This process firstly involved identifying all of the content that was required to be migrated.
Using Vamosa Content Analyzer Vamosa Expert Services gained a clear understanding of DoHA’s content inventories and content management activities. The results showed that DoHA had 40 static websites containing 50,000 ‘must have’ pages that were to be migrated.
Vamosa Content Migrator then extracted all of the required content, copying it into the staging repository while allowing business to continue as normal for all DoHA’s employees. The next stage of the process involved exposing all of the content to Vamosa’s rules engine, Vamosa Content Quality Builder, allowing all of the content to be modified both for business requirements and to satisfy the requirements of the target system. The content was then loaded into the target system already ‘fit for purpose’ and ready for productive use.
Vamosa Content Migrator was used to simply, automatically and quickly migrate the required web content and linked documents to IBM Lotus WCM in the stated timescales. The Vamosa toolset in the migration process, compared with the manual alternative, lead to the project being completed
* Four times faster
* At a quarter of the price
* With zero impact on day to day operations
With this in mind, there is a growing requirement for content to be analyzed, enhanced and standardized prior to migration. The cost involved in manually reviewing and migrating content can be significant; but it can be minimized through the use of software to perform automatic analysis and migration – a solution recently provided by Vamosa for the Department of Health and Ageing of Australian Government (DoHA).
DoHA needed to migrate from their legacy CMS to IBM WCM within just eight weeks in order to achieve better control of their internet sites. Vamosa recommended a solution that involved an automatic cleanup and enhancement of their content. This process firstly involved identifying all of the content that was required to be migrated.
Using Vamosa Content Analyzer Vamosa Expert Services gained a clear understanding of DoHA’s content inventories and content management activities. The results showed that DoHA had 40 static websites containing 50,000 ‘must have’ pages that were to be migrated.
Vamosa Content Migrator then extracted all of the required content, copying it into the staging repository while allowing business to continue as normal for all DoHA’s employees. The next stage of the process involved exposing all of the content to Vamosa’s rules engine, Vamosa Content Quality Builder, allowing all of the content to be modified both for business requirements and to satisfy the requirements of the target system. The content was then loaded into the target system already ‘fit for purpose’ and ready for productive use.
Vamosa Content Migrator was used to simply, automatically and quickly migrate the required web content and linked documents to IBM Lotus WCM in the stated timescales. The Vamosa toolset in the migration process, compared with the manual alternative, lead to the project being completed
* Four times faster
* At a quarter of the price
* With zero impact on day to day operations






