What Is Data Quality and How Does It Impact Data Migrations
What is data quality? Data quality refers to the condition of your data. The quality can significantly affect data migration timelines.
As we move further into 2025, organizations are confronting a wave of modernization challenges. One of the most complex ...
As we move further into 2025, organizations are confronting a wave of modernization challenges. One of the most complex issues is what to do with decades of accumulated legacy data. Whether it lives in aging archives, home drives, PST files, or older email systems, this data often carries business, legal, and compliance value. But migrating it into a modern cloud environment like Microsoft 365 requires more than simply copying files from one place to another.
This refreshed guide looks at legacy data migrations through a modern lens, focusing on modern risks, new technology considerations, and practical strategies that matter today, without product pitches or platform promotion.
Legacy Data still includes well-known data types like PSTs, large home drive folders, and email archives, but the landscape has expanded. Today, organizations may be dealing with: 
Because many repositories now include a blend of active and inactive data, migration requires a strategy that preserves accessibility without bringing unnecessary clutter into the cloud.
In 2025, organizations have three primary options:
Move the full repository into Microsoft 365 or another cloud environment.
Use retention policies, classification, or defensible disposition to remove redundant or low-value data before migrating.
Some organizations now choose to migrate only the data with business, regulatory, or litigation value.
For those choosing migration, typical target destinations still include:
But unlike years past, migrations now often involve decision-making around retention labels, sensitivity labels, immutable storage, and searchability.
Legacy data migration can still be performed manually, but the complexity of today’s environments makes manual processes increasingly risky.
The challenges that organizations face in 2025 include:
Modern approaches rely heavily on automation, orchestration, and reporting, not just file copying, to keep projects predictable and defensible.

Organizations are defining successful legacy data migration through broader criteria than a decade ago. A migration is considered successful when:
Success today is holistic, covering people, process, technology, and governance.
Even with modern tools, legacy data migration remains one of the most complex operational challenges in IT. The reasons include:
Most enterprises now look for experienced partners not just to move data, but to guide the decision-making around:
Migration vs. defensible disposition: Organizations must now decide not only how to migrate data, but whether the data should be migrated at all. This involves assessing business value, regulatory obligations, litigation risk, and user needs. Defensible disposition offers the opportunity to remove redundant, obsolete, or low-value information in a way that is legally justifiable and fully documented, reducing both cost and risk before moving anything into the cloud.
Mapping data into modern governance frameworks. Legacy systems often predate today’s retention labels, sensitivity classifications, and regulatory requirements. Before migration, organizations must determine how older content aligns with modern governance structures. Ensuring the data is correctly labeled, retained, protected, and discoverable once it arrives in Microsoft 365 or any modern cloud environment. This step helps prevent compliance gaps and improves long-term search and management.
Ensuring user communication and change management, migrating historical data can affect end users more than expected. Employees may lose access to legacy systems, see changes in folder structure, or need guidance on where specific content has been relocated. Clear, timely communication and change management planning are essential for minimizing disruption, increasing adoption, and preventing support tickets during and after the migration.
Validating completeness and chain of custody. Modern migrations place greater emphasis on transparency and defensibility. Organizations must be able to prove that data was collected, processed, transferred, and stored with full integrity. This includes validating message counts, metadata preservation, exceptions reporting, and maintaining a reliable chain of custody from extraction to final storage. These verification steps ensure compliance, reduce legal exposure, and support eventual system decommissioning.
To help organizations plan effectively, here is a quick overview of the 7 essential steps for a successful data migration, summarized in a very short form:
These steps provide the foundation for a predictable, defensible, and successful migration.
Cloudficient specializes in cloud migration services, including onboarding for Microsoft 365, Enterprise Vault migration, compliance migrations, and more. With our help, you can be confident that your data migration process will be completed on budget, on time, and according to your requirements.
With unmatched next-generation migration technology, Cloudficient is revolutionizing the way businesses retire legacy systems and transform their organization into the cloud. Our business constantly remains focused on client needs and creating product offerings that match them.
What is data quality? Data quality refers to the condition of your data. The quality can significantly affect data migration timelines.
Read this blog to understand the basics of data migration no matter what data you're trying to move, from any source to any target.
Your archive migration is more than just copying or moving data. Take a look at the extra things that are involved.