The Data Portability Test
The proof that you own an asset is being able to pick it up and leave. IBM’s report recommends treating datasets as high-value assets on par with financial records. But an asset that cannot move is not fully yours.
The portability test measures this in an hour. The result is usually uncomfortable — though learning it early is always better.
What Is the Problem?
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- The dependency goes unnoticed
- A backup is assumed to exist
- The exit cost gets learned too late
Three situations appear without a test.
The dependency goes unnoticed
A tool gets used for years and data accumulates. Because nobody tries the exit, the dependency stays invisible. It gets noticed when the price rises or the service deteriorates — and by then there are no options left.
A backup is assumed to exist
The system may take regular backups. But if that backup only opens inside the same tool, it is not portable. Having a backup is not proof of ownership. The real question is whether it opens somewhere else.
The exit cost gets learned too late
Once the decision to switch is made, it emerges that the exit will take weeks. Sometimes the data cannot be extracted at all; sometimes it arrives in an unusable format. So the decision gets postponed, and putting up with poor service starts looking easier than moving.
Why Does It Happen?
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- Nobody asks at the start
- The lock is by design
- Testing is nobody’s job
Three reasons.
Nobody asks at the start
When a subscription gets bought, the price and the features get examined. The exit terms do not. Yet that is the easiest moment. No data has accumulated and the options are still open.
The lock is by design
Some tools deliberately make leaving hard. The data can be exported but in an unusable format. Legally nothing is wrong. In practice the exit is impossible.
Testing is nobody’s job
While everything works, nobody thinks of trying the exit. The idea only arrives once there is a problem — and by then there is no time. A rushed migration also carries the risk of data loss.
How Is It Done?
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- Step 1: pick your most critical tool
- Step 2: take the data out
- Step 3: open the file and check it
The test runs in three steps.
Step 1: pick your most critical tool
Choose the tool holding the most data and mattering most to the work. Usually it is customer management, accounting or the e-commerce system. Run the test on that one; the others come later, and knowing the riskiest is enough. Whichever one stopping would stop your work is the one to pick.
Step 2: take the data out
Find the export feature and actually run it. Note three things. What format does the output arrive in? How long does the process take? Does all the data come, or only part of it? Some systems only give a summary while the actual records stay inside; the terms usually spell that out.
Step 3: open the file and check it
This is the real test. Open the file you downloaded in a different programme. Is it readable? Does it contain the fields you need? Did the customer notes arrive? Are the past correspondence and attachments there too? Most businesses spot the gaps exactly at this step — the first two can look fine while the third reveals the truth.
How Long, Where to Start?
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- The test takes an hour
- The return is negotiating power
- First step: test one tool this week
An hour, once a year.
The test takes an hour
The export takes minutes, the check half an hour. Repeating it annually suffices; tools change their features over time and export options can get restricted later.
The return is negotiating power
A business that can retrieve its data holds an option when the price rises or the service slips. One that cannot has to stay whatever the terms. That difference lands directly on price at renewal: a customer who can leave gets persuaded to stay.
First step: test one tool this week
Pick your most critical tool and try the export. If the result is good, you relax. If it is bad, you know now — better than learning it in a crisis. If you already hold a data inventory, which tool counts as critical is clear too.
The Common Mistake
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- Seeing the export button and stopping there
- Checking only the main data
- Leaving the test to a crisis
Three traps.
Seeing the export button and stopping there
The button’s existence is not a test on its own. The real question is whether the resulting file is genuinely usable. You cannot be sure without trying. An hour of testing ends an assumption that would otherwise last years.
Checking only the main data
If the customer list arrives but the notes, attachments and history do not, the migration stays half-done. The value of the work usually sits in those details; a raw list alone does no work. Add them to your checklist. Partially migrated data counts as unmigrated.
Leaving the test to a crisis
A test run after the switching decision is already late. A test run in calm times gives freedom of decision. One run during a crisis only delivers bad news.
Frequently Asked Questions
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No, no hasty decision is needed. A bad result means a logged risk. You can do three things. First, start taking regular manual backups: even a monthly export reduces the dependency. Second, ask the provider; some systems open a fuller export on request. Third, set that condition upfront in your next tool selection. Switching only makes sense if there is another reason too — the migration itself is a cost, carrying data-loss risk and a learning period.
More necessary, because your negotiating power is already limited. A large customer can argue a price increase; a small business usually has to accept it. One that can move its data at least holds an option. An hour of testing makes a dependency that would otherwise run for years visible — and a visible risk can be managed.
Yes, though the questions differ slightly. There you look at three things. Is the data you enter stored? For how long? Is it used in model training? Also check whether the content and settings you built can be exported. In AI tools the real dependency is not the data but the arrangement you built around it; keeping that arrangement written down provides a kind of portability of its own. The tool may change; the method you established stays with you.