The Efficient Way To Manage Data Migration

Planning is the most crucial portion of a migration. Every migration must have a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other elements that will help users to find relevant content. It is critical that you invest the time to learn about the problems you’re having and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous explanations for this, most of which revolve around poor planning. While most companies share the same need to find data easily, they frequently differ on how they arrive there. There are many repositories for your use when it comes to data cataloging, but without a thought-out plan in place, these programs can fail to perform. Be sure you’ve thought it through carefully before migrating.

Wave has been executing enterprise migrations and providing advisement services since the ’90s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the particular hurdles that can arise in both modern and conventional ECM tools and we’ve distilled our methods over the years as technology has evolved. Leverage our competence to implement a prosperous 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 classified, how much and what types of content you have, and any features you desire such as versions, directions, and workflows.
Clean & Organize

Data migrations are similar to moving to a new home- determine what you want to keep and what you no longer need. Perhaps you have data that is not needed. While analyzing your information, take a minute to pinpoint opportunities for betterment particularly as it relates to your organizational procedures and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how drawn-out the migration will be. Also, execute a data exchange test to be sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than planned during the benchmarking process, be sure to create routine progress checks during that cycle and ensure no errors occur. If they do, you can fine-tune your project plan.
Validate Your End Result

To ensure that what you end up with in the destination platform coincides with what you began with in the source program, have a validation procedure in place. If you’ve completed data cleansing during the migration, your validation should be able to justify that.
Account For New Content

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

Many sources now offer Artificial Intelligence features that can automate the content orchestration portion of your migration. Should you determine to use this element, you can use existing metadata, and augment it with the help of your AI tools.