In order to sustain business growth, it will become necessary to implement a product data management solution.  Before going live with Oracle Agile, it will be necessary to migrate your product data.  When it comes to successfully migrating data, take the safe route and bring in a professional.

The Domain Systems Migration team has the training, aptitude, and demonstrated care necessary for completing a successful data transfer.   

As with other projects, the process of migrating data or even a full Agile migration be broken down into a series of tasks, metrics, and procedures that reduce costs and time to completion, yet virtually eliminate errors.

Database schemas are different, characters in field text can become “illegal,” and unavoidably some existing data and relationships will simply be erroneous.

If you are interested with small migration or a full on Agile PLM Migration, we can help.

“Domain Systems provided a professional, friendly and effective service to our company. They used their experience to successfully help us through the installation, configuration and data extraction phases of the Agile introduction, providing useful advice at all times.”

William Atwood

IT Director

Successful Agile PLM migration

Comprehensive Mapping

A geographical  map is essential for traversing unknown lands
Every data field that is going to be migrated from the source system to the target system must be defined and examined to ensure  compliance with field lengths, data types, system rules, and other possible issues. It is critical to understand where information is going as well as if there are any known and avoidable obstacles in the way of a successful Agile PLM migration.

Data Validation

“A good craftsman measures twice and cuts once”
The data in a legacy system often contains problems or can be unknowingly incorrect due to any number of reasons. Any validation rule that can be utilized to locate and fix these problems is be performed on the first-pass data extract. Whereas the source system may ignore the discrepancies with items like duplicate reference designators on a Bill of Material, the target system typically will have tighter business rules. agile plm migration made easy

Quality Transformation

Language gaps are bridged by the interpreter
Data is extracted from the source system and transformed—or translated—into a normalized format that the target system can import and understand. This transformation will not only perform the defined data mappings, but will also execute any underlying business logic functions that may be essential to populating more complex data structures.





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