The Efficient Way To Manage Data Migration

Planning is the most crucial portion of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations need to include folder structure, metadata mapping, security, search capabilities, and many other elements that will help users to find relevant content. It is critical that you invest the time to identify the problems you’re having and what is needed to move ahead.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around poor planning. While the majority of companies share the same need to access data readily, they frequently vary on how they arrive there. There are numerous repositories at your disposal when in reference to data sorting, but without a thought-out plan in place, these tools can fail to perform. Be sure you’ve thought it through carefully before migrating.

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

Our expert team comprehends the unique obstacles that can arise in both contemporary and traditional ECM tools and we’ve refined our methods over the years as technology has expanded. Utilize our proficiency to execute a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to assess what you own, how it’s classified, how much and what types of information you have, and any features you need like versions, annotations, and workflows.
Clean & Organize

Data migrations are similar to moving to a new house- determine what you want to keep and what you no longer need. Perhaps you have data that is obsolete. While analyzing your information, take a minute to identify places for betterment particularly as it pertains to your institutional procedures and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a benchmark to see how long the migration will be. Also, implement a data alternation analysis to be sure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than planned during the standardizing process, be sure to set up regular check-ins during that time period and make sure no errors occur. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that your end result in the destination program matches what you with in the source program, have a validation protocol in place. If you’ve done data cleansing during the migration, your verification should be able to account for that.
Account For New Content

Sometimes you can’t make the whole system read-only during a migration, and new content is included. You’ll want to ensure to show any new metadata and any new data that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the data cataloging part of your migration. Should you determine to use this tool, you can leverage existing metadata, and enhance it with the support of your AI capabilities.