Organizations implement PLM systems with several goals in mind: to better manage corporate assets, bring products to market faster, meet competitive challenges, and satisfy customer needs.
Data migration is an essential element of any PLM system implementation. A successful migration enables companies to increase their productivity by providing better access to and control of their design data.
The Data Migration portion of a Product Lifecycle Management (PLM) implementation represents one of the highest reward—yet highest risk—activities of a PLM deployment.
During this process, it is critical to maintain accuracy and accessibility of legacy data, however, organizations may lack the proper planning necessary or utilize resources with inadequate domain expertise to handle this complex task.
Consequently, poorly planned and executed data migrations lead to cost overruns, project delays, and potential data corruption, among other issues. Fortunately, much of this risk can be mitigated with a thorough and properly formed data migration analysis & planning project.
With data migration analysis & planning, organizations not only reap the benefits of reduced project risks, they can also cut costs, avoid project delays, as well as minimize business disruptions. While strategies for approaching this process may differ from one company to the next, common factors exist that affect the success of all migration projects.
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