The Efficient Way To Manage Data Migration

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

Why Do Migrations Fail?

There are many explanations for this, most of which occur around poor planning. While the majority of businesses share the same requirement to find data efficiently, they frequently differ on how they get there. There are numerous repositories for your use when referring to data cataloging, but without a thought-out plan in place, these tools can fail to function properly. Be sure you’ve done your due diligence before migrating.

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

Our expert team understands the unique challenges that can happen in both contemporary and legacy ECM applications and we’ve fine-tuned our ways over the years as technology has evolved. Take advantage of our expertise to execute a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you have, how it’s cataloged, how much and what groups of data you possess, and any elements you desire like versions, directions, and processes.
Clean & Organize

Data migrations resemble moving to a new residence- decide what you want to bring along with you and what you don’t need. Perhaps you have data that is obsolete. While analyzing your information, take a moment to pinpoint areas for improvement especially as it pertains to your institutional procedures and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a standard to see how long the migration will be. Also, execute a data alternation evaluation to ensure your migration pipeline is snag-free.
Check In Regularly

If you see that your migration will take longer than planned during the criteria evaluating process, be sure to create regular checkpoints during that time period and be sure no errors arise. If they do, you can adjust your project plan.
Validate Your End Result

To ensure that your final product in the destination platform is equivalent to what you began with in the source system, have a acceptance measure in place. If you’ve completed data cleanup during the migration, your verification should be able to show that.
Account For New Content

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

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