The Efficient Way To Manage Data Migration

Planning is the most crucial element of a migration. Every migration must have a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include search capabilities, security, mapping metadata, folder structure, and many other components that will enable users to find pertinent information. It’s crucial that you take the time to understand the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are several causes for this, most of which center around lack of planning. While most organizations share the same desire to access data readily, they frequently contrast on how they get there. There are several sources at your disposal when in reference to data sorting, but without a solid plan in place, these resources can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and giving advisement services since the mid ‘90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the different hurdles that can occur in both current and traditional ECM applications and we’ve fine-tuned our ways over the years as technology has changed. Utilize our competence to implement a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to understand what you have, how it’s cataloged, the amount and what types of information you have, and any facets you need for example versions, directions, and protocols.
Clean & Organize

Data migrations resemble moving to a new house- determine what you want to keep and what you no longer need. It’s possible that you have data that is no longer relevant. While combing through your information, take a moment to identify places for improvement particularly as it pertains to your institutional procedures and metadata.
Test The Migration Process

Next, you should test your migration and identify a criteria to see how drawn-out the migration will be. Also, implement a data alternation analysis to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than expected during the criteria evaluating process, be sure to set up routine progress checks during that time period and be sure no errors arise. If they do, you can change your project plan.
Validate Your End Result

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

Sometimes it’s not possible to make the whole system non-editable during a migration, and new information is included. You’ll want to ensure to account for any new metadata and any new information that’s added.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the information orchestration portion of your migration. Should you choose to use this feature, you can leverage existing metadata, and enhance it with the assistance of your AI capabilities.