The Efficient Way To Manage Data Migration

Planning is the most important portion of a migration. Every migration needs a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations must include folder structure, metadata mapping, security, search capabilities, and many other aspects that will allows users to find pertinent data. It’s critical that you spend the time to identify the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around lack of planning. While the majority of companies share the same need to procure data easily, they frequently differ on how they land there. There are several sources at your disposal when it comes to data cataloging, but without a strong plan in place, these resources can fail to perform. Be sure you’ve thought it through carefully before migrating.

Wave has been performing enterprise migrations and giving strategic planning services since the 1990s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team comprehends the different obstacles that can happen in both contemporary and legacy ECM platforms and we’ve fine-tuned our methods over the years as technology has changed. Take advantage of our proficiency to execute a successful 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 have, how it’s classified, the amount and what types of data you possess, and any features you desire like versions, annotations, and processes.
Clean & Organize

Data migrations are much like moving to a new home- decide what you want to take with you and what you don’t need. Maybe you have data that is not needed. While reviewing your content, take a second to determine places for improvement specifically as it pertains to your operational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a standard to see how drawn-out the migration will be. Also, perform a data alternation analysis to be sure your migration pipeline is hiccup-free.
Check In Regularly

If you find that your migration will take longer than planned during the criteria evaluating process, be sure to create regular progress checks during that time period and ensure no problems arise. If they do, you can fine-tune your project plan.
Validate Your End Result

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

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

Many programs now offer Artificial Intelligence tools that can automate the content organization portion of your migration. Should you determine to use this tool, you can leverage existing metadata, and augment it with the help of your AI tools.