So you’re tasked with your organization’s next big data migration. Maybe you’re moving to a new CRM system. Maybe you’ve just acquired another company and need to integrate their data into your system. Whatever the reason, data migrations are critical processes that many businesses go through. The continuing explosion in the volume of data businesses collect, store and use suggests that the trend of most companies engaging in some data migration project (91 percent, according to our recent findings) isn’t letting up anytime soon.
A data migration is defined as the process of transferring data between storage types, formats or computer systems. This is essential for system implementations and consolidations, basically anytime systems of data need to be joined together to moved to a new place. Most commonly, migrations happen when there is:
While the concept sounds simple enough, data migrations are typically full of challenges, ranging from communication issues to differing data standards and system designs. With the success of key organizational initiatives often riding on the success of a data migration, look out for these five common mistakes we’ve seen in data migrations.
Want to learn how to alleviate these commons challenges and ensure your next data migration project supports your initiatives and business goals? Download our guide to easing the data migration burden.
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