The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial piece of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations must include search capabilities, security, mapping metadata, folder structure, and many other elements that will enable users to find appropriate content. It’s crucial that you take the time to understand the problems you have and what is necessary to move forward.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around lack of planning. While most companies share the same need to procure data efficiently, they frequently differ on how they arrive there. There are numerous repositories for your use when in reference to data organization, but without a thought-out plan in place, these resources can fail to work as expected. Be sure you’ve thought it through carefully before migrating.

Wave has been expertly handling enterprise migrations and delivering advisement services since the ’90s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the unique challenges that can arise in both contemporary and conventional ECM applications and we’ve fine-tuned our methods over the years as technology has expanded. Leverage our competence to deploy a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the appropriate amount of time to assess what you own, how it’s cataloged, the amount and what groups of information you have, and any features you desire like versions, explanations, and protocols.
Clean & Organize

Data migrations resemble moving to a new residence- determine what you want to bring along with you and what you don’t need. Perhaps you have data that is obsolete. While analyzing your data, take a minute to identify places for betterment especially as it applies to your operational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a standard to see how long the migration will be. Also, perform a data alternation analysis to make sure your migration pipeline is hiccup-free.
Check In Regularly

If you find that your migration will take longer than planned during the criteria evaluating process, be sure to implement routine check-ins during that window and make sure no problems arise. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that your final product in the destination system matches what you began with in the source program, have a acceptance measure in place. If you’ve done data cleanup during the migration, your acceptance should be able to account for that.
Account For New Content

Sometimes you aren’t able to make the whole system non-editable during a migration, and new data is included. You’ll want to be sure to justify any new metadata and any new information that’s added.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence tools that can automate the data organization process of your migration. Should you choose to use this tool, you can use existing metadata, and improve it with the assistance of your AI tools.