The Efficient Way To Manage Data Migration

Planning is the most important element 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 must include search capabilities, security, mapping metadata, folder structure, and many other elements that will help users to find pertinent content. It’s crucial that you invest the time to identify the problems you have and what is required to get resolution.

Why Do Migrations Fail?

There are several explanations for this, most of which revolve around lack of planning. While the majority of companies share the same need to procure data efficiently, they frequently differ on how they arrive there. There are many repositories for your use when referring to data organization, but without a strong plan in place, these programs can fail to function properly. Be sure you’ve done your due diligence before migrating.

Wave has been executing enterprise migrations and giving consultation services since the 1990s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team comprehends the unique hurdles that can happen in both contemporary and legacy ECM platforms and we’ve fine-tuned our approach over the years as technology has evolved. 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 the time to assess what you have, how it’s classified, the amount and what groups of data you possess, and any features you desire for example versions, explanations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- identify what you want to take with you and what you can get rid of. It’s possible that you have data that is not needed. While analyzing your content, take a moment to determine areas for improvement especially as it relates to your operational processes and metadata.
Test The Migration Process

Next, you should test your migration and determine a benchmark to see how drawn-out the migration will be. Also, implement a data swap test to make sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than expected during the standardizing process, be sure to create routine check-ins during that cycle and make sure no errors arise. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that your final product in the destination system matches what you started with in the source system, have a acceptance procedure in place. If you’ve done data cleansing during the migration, your validation should be able to justify that.
Account For New Content

Sometimes it’s not possible to make the whole system read-only during a migration, and new data is added. You’ll want to be sure to justify any new metadata and any new information that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the information cataloging portion of your migration. Should you choose to use this feature, you can use existing metadata, and augment it with the support of your AI capabilities.