Regardless of the exact purpose for a data migration, the goal is generally to enhance performance and competitiveness.

But you have to get it right.

Less successful migrations can result in inaccurate data that contains redundancies and unknowns. This can happen even when source data is fully usable and adequate. Further, any issues that did exist in the source data can be amplified when it’s brought into a new, more sophisticated system.

A complete data migration strategy prevents a subpar experience that ends up creating more problems than it solves. Aside from missing deadlines and exceeding budgets, incomplete plans can cause migration projects to fail altogether. In planning and strategizing the work, teams need to give migrations their full attention, rather than making them subordinate to another project with a large scope.

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