The Efficient Way To Manage Data Migration

Planning is the most important portion of a migration. Every migration requires a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include mapping metadata, folder structure, search capabilities, and many other components that will help users to find pertinent information. It’s imperative that you spend the time to learn about the problems you are having and what is needed to get resolution.

Why Do Migrations Fail?

There are many causes for this, most of which revolve around poor planning. While most businesses share the same requirement to procure data readily, they frequently contrast on how they get there. There are several sources at your disposal when it comes to data sorting, but without a thought-out plan in place, these programs 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 mid ‘90s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the unique hurdles that can occur in both current and conventional ECM tools and we’ve distilled our ways over the years as technology has evolved. Leverage our expertise to implement a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you possess, how it’s cataloged, the amount and what kinds of data you have, and any elements you need such as versions, directions, and processes.
Clean & Organize

Data migrations are similar to moving to a new house- identify what you want to take with you and what you don’t need. Perhaps you have data that is obsolete. While combing through your content, take a minute to pinpoint places for progress especially as it applies to your organizational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a criteria to see how long the migration will be. Also, perform a data swap analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than anticipated during the standardizing process, be sure to implement regular checkpoints during that window and make sure no errors occur. If they do, you can change your project plan.
Validate Your End Result

To ensure that your final product in the destination system coincides with what you with in the source platform, have a acceptance measure in place. If you’ve completed data cleansing during the migration, your validation 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 information is included. You’ll want to be sure to account for any new metadata and any new information that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the content orchestration part of your migration. Should you choose to use this element, you can use existing metadata, and improve it with the help of your AI capabilities.