Let’s break down what data migration is, the different types you might encounter, why businesses need it, and the steps to plan and execute a successful transfer.
Jump to:
Data migration definition
Data migration is the process of moving data from one system, storage location, format, or application to another. For example, you can migrate your data from QuickBooks Desktop to QuickBooks Online.
What a data migration involves
Data migration involves a series of phases that successfully complete this operation. Below is a quick overview of what the process generally looks like:
Types of data migrations
Depending on what you’re moving and why, your project might fall into one (or more) of these categories:
Storage migration
This is when you move data from one storage system to another, such as upgrading from older hard drives (HDDs) to faster solid-state drives (SSDs) or shifting files into the cloud. The goal is usually better speed, reliability, or scalability.
Database migration
If your data lives in a database, you might need to move it to a different platform (e.g., from MySQL to PostgreSQL) or a newer version of the same database software. This often means reworking the structure so the data still works properly in its new home.
Application migration
This migration involves relocating data, and sometimes the application, into a new environment or version. For example, you move your desktop accounting software along with its data into a modern cloud-based platform or new server environment (e.g., QuickBooks Desktop to QuickBooks Online).
Cloud migration
This process involves moving data, apps, or entire services to a cloud provider like Amazon Web Services, Microsoft Azure, or Google Cloud. You might also migrate between clouds if you find one that’s a better fit for your needs.
Business process migration
Big business changes, like mergers, acquisitions, or reorganizations, usually require moving entire systems, workflows, and databases so everything runs on a shared platform.
Data center migration
This extensive project involves relocating all your servers, applications, and databases to a new physical or virtual data center. Businesses do this for better security, lower costs, or to modernize their infrastructure.
Reasons for needing a data migration
There are plenty of reasons a business might need to move its data. Most of them boil down to keeping operations seamless, staying competitive, and making life easier. Here are some of the most common:
Upgrading or replacing hardware and systems
When servers, storage devices, or software reach the end of their life, moving your data to newer, faster systems helps you avoid downtime and keep performance strong.
Moving off legacy systems
As older platforms age, they become fragile or difficult to maintain. Migrating to newer, more reliable systems is usually necessary to stay agile and avoid getting stuck with outdated tech.
Consolidation for better access and insight
If your information is scattered across multiple systems, it’s harder to get a clear picture of your business. Consolidating your data into one system, like a cloud database, makes it easier to find, analyze, and use.
Streamlining after mergers or acquisitions
When two businesses join forces, their data typically lives in different systems. Migrating everything into a single, unified setup helps teams work together without missing a beat.
Reduce costs and increase efficiency
Old or redundant systems can drain your budget through extra licenses, hardware upkeep, and constant fixes. Migrating to a modern, unified platform can reduce operating costs and streamline workflows. With everything in one place, your team works faster, avoids duplicate effort, and spends more time on tasks that grow the business.
Considerations when planning a data migration
Before jumping into a migration project, make sure you’re thinking through these key factors, as each one plays a key role in keeping your project safe, smooth, and on track:
Data quality
Assess your current data and fix any errors, duplicates, or outdated information before migrating. It’s much easier to tackle these issues from the clean side than after everything’s moved.
Compatibility
Your new system might expect data in a different format or structure. Plan ahead to spot these differences, like field types, and lay out how you’ll map and transform the data to make the transition seamless.
Downtime
Will the migration require downtime? If yes, figure out how long your systems will be offline and plan ways to minimize business disruption, such as off-hours migration or phased rollouts.
Security and compliance
When you move sensitive information, risk increases. Use encryption in transit and at rest, limit access to authorized team members, and follow any compliance rules relevant to your industry, such as GDPR, HIPAA, or PCI DSS. A single breach could cause serious financial loss and reputational damage.
Resource allocation
Data migration lends itself to teamwork and collaboration. Figure out who’s leading the project, who’s handling technical execution, who’s doing validation, and who’s communicating with stakeholders. Assigning clear roles and responsibilities can help reduce bottlenecks and move the project forward.
Risk management
Even the best-prepared migrations can run into a few roadblocks, such as corrupt files, missing data, or system incompatibilities. Try to anticipate these risks early and implement a rollback plan so you can quickly restore the old system if needed.
Budget and timeline overruns
Migrations can take longer and cost more than expected, especially if unexpected issues pop up. That can mean more overtime pay for staff, consulting help, or additional storage and software. Consider building in a contingency budget and timeline to keep surprises from derailing the project
Strategies for a migration
When it comes to data migration, there are two common approaches you can take, each with its own pros and cons:
Big bang migration
With this strategy, you move all your data at once during a planned cut‑over. It’s quick and can be more cost-efficient in the short term, but it typically requires planned downtime, so your business may need to pause operations during the switchover. This works best when your systems are relatively simple and you can plan the migration for off-hours or a weekend.
Trickle (phased) migration
Also known as phased or iterative migration, this approach takes a slower, more measured route. Data moves in stages, with old and new systems running side by side for a time. It avoids a single-point failure and gives teams time to test and adapt as they go.
Best practices for a data migration
Like any major project, a data migration needs structure, preparation, and a clear process to be successful. Take a look at some of these best practices to help you get the job done efficiently.
Clean your data before the move
Don’t waste time and effort moving bad or outdated data. Audit what you have, fix errors, remove duplicates, and standardize formats. With data auditing, you can start fresh in your new system with high-quality information.
Test it in a safe space first
Before touching your live systems, run the migration in a test environment. This lets you see how the process works, spot glitches, and make adjustments, without putting your day-to-day operations at risk.
Secure backups at every stage
Always have a fall-back plan. Back up your data before migrating, during transitions, and right before the final cut-over. If anything goes sideways, you can hit rewind and restore from a safe point.
Validate and audit after migration
Once your data is in its new place, double-check it. Verify that everything was transferred correctly, compare source-to-target accuracy, and confirm that your apps and workflows are functioning as expected.
Document every step for the future
Document every step—what worked, what didn’t, and what you’d do differently. That record can save you hours (or days) if you ever need to migrate again, and it’s handy for audits or compliance checks.
How to implement a migration
Data migrations can look different among businesses, especially when factoring in the scale and complexity of the project. However, the following steps offer a general guideline on how to migrate data successfully.
Step 1: Assess your current data
Start with a clear picture of what you’re working with. Ask yourself:
- Where is your data stored?
- What formats is it in?
- How much data do you have, and which systems or workflows depend on it?
This discovery phase helps you understand the full scope of the project, identify potential challenges, and avoid costly surprises later.
Step 2: Make a detailed plan
Outline your migration goals, set realistic timelines, define your budget, and assign clear responsibilities to each team member. Also, choose your migration approach:
- Big bang: All data moved in one go
- Trickle (phased): Data moved in stages over time
You may also want to consider a hybrid approach. For example, you could migrate the most critical datasets using a big bang method over a weekend while gradually moving less critical or non-essential data in phases.
Step 3: Prepare your data
Don’t take messy data into a new system. Clean it by
- Removing duplicates, correcting errors, and filling in missing fields
- Standardizing formats so everything fits the target system’s requirements
- Mapping fields between the old and new systems so the data lands in the right place without misalignment
This is a great opportunity to archive old data you no longer need, which helps reduce the volume you migrate.
Step 4: Choose the right tools and strategy
Look at the size, complexity, and format of your data. These factors will guide what type of software or platform you’ll need. For example, moving a few gigabytes of structured data from one database to another is a very different job from transferring terabytes of mixed files, media, and records between cloud systems.
Business process automation tools can be a huge help here. They help speed up the migration and can reduce the risk of human error by handling repetitive, rules-based tasks for you.
Here are some common tools to consider depending on your migration needs:
Step 5: Back up your data
Before the transfer begins, create secure backups of everything you’re migrating. Store them in a safe location, separate from the migration environment. That way, if something goes wrong, you can quickly roll back to a known good state without losing valuable information.
Step 6: Execute the migration
Start transferring the data to the new system. Monitor progress closely, track any errors in real time, and be ready to pause or adjust if needed. Having your technical and business teams on standby during execution can also help. The tech team can address system errors, performance slowdowns, or compatibility glitches, while business users can spot functional issues—e.g., missing customer data, broken links, or mismatched reports—before the migration is complete.
Step 7: Test and validate the migration
Once the migration is complete, confirm everything transferred correctly by following these steps:
1. Compare data sets by checking record counts, file sizes, and key values in both the old and new systems.
2. Test and run essential processes (e.g., creating invoices, generating reports, etc.) to make sure the system uses the data correctly.
3. Check date integrity by looking for missing entries, formatting errors, or corrupted files.
4. Get end-user feedback by having business users perform their usual tasks to spot any issues your tech team might miss.
5. Make sure sensitive data was handled properly and meets industry regulations (GDPR, HIPAA, PCI DSS, etc.).
Step 8: Wrap up and move forward
Continue monitoring the new system for a set period after migration to catch any lingering issues. Once you’re confident everything is stable, decommission the old system or archive it for compliance purposes. Document the entire process so you can use the lessons learned in future migrations.
Comparing data migration
Data migration can get confused with other related terms, especially ETL, data transfer, and data conversion. They’re similar, but each one has its differences. Let’s take a look:
Data migration vs. ETL
Data migration means moving data from one system to another, usually for system upgrades, consolidation, or recovery. It’s typically a one-time event, with the main goal being to keep the data accurate, intact, and accessible while minimizing downtime. You’ll only transform the data if the new system requires it.
ETL (Extract, Transform, Load) is a process where you extract raw data from one or more sources, transform it into a desired format or structure (cleaning, enriching, or mapping fields), and then load it into a target system (typically a data warehouse or analytics platform). ETL is designed for ongoing data processing rather than one-off moves
Data migration vs. data transfer
Data transfer is a broad term that refers to moving or copying data from one place to another. This can happen continuously, such as in backups, replication, or file syncing. The source data usually stays intact, and the focus is on speed, secure transfer methods, and the right protocols rather than a full end-to-end project.
Data migration includes that transfer, but also layers on other steps, such as data cleansing, mapping, transformation, testing, and validation. The priority is making sure the data is accurate, complete, and fully validated before going live.
Data migration vs. data conversion
Data conversion is a process focused on changing the format, structure, or type of data so it’s compatible with a new system or application. Examples include converting a file from CSV to JSON, changing date formats, or restructuring database tables.
Data migration can include conversion as one possible step, but its primary purpose is to move data between systems while maintaining integrity.
Conclusion
Whether you’re moving to the cloud, upgrading old systems, or bringing everything together in one place, the goal is simple: get your data where it needs to be, keep it safe, and make sure it works the way you need it to.
Want to switch to QuickBooks Online? QuickBooks has already helped 1.5 million customers successfully migrate from QuickBooks Desktop to Online. You can do it yourself with our online migration tool, follow our step-by-step guide, or join a migration webinar for extra support.
**1. The #1 accounting software for small businesses: #1 Accounting Software for Small Business based on PCMag, as of October 2020.
Recommended for you
Get the latest to your inbox
No ThanksLooking for something else?
Call Sales: 1-800-285-4854
