There are many reasons to migrate data from one storage system to another: to reduce infrastructure costs, to make backup-and-recovery processes more efficient, to address information security or compliance concerns, or to respond to business restructuring needs.
But it’s not unusual to have millions of pieces of unstructured data in a data repository—including personal or inappropriate data, multiple unnecessary copies and versions of the same documents, and content that has already exceeded its useful lifespan or required retention period.
You don’t want to include this irrelevant data in your migration. However, given the sheer volume of unstructured data in a repository, it can be extremely difficult and time-consuming—if not impossible—to accurately identify which documents need to be purged, archived or re-located, or migrated.
So how can you quickly and easily identify your data and apply appropriate migration policies to it? How can you intelligently separate the important business information from unimportant or redundant data — especially since so much of your unstructured content may be poorly organized and not easily identifiable?
Learn how NogaLogic can help you effectively migrate your unstructured data >>>