When a Temporary Data Exception Becomes the New Process

Most data exceptions start with a reasonable request.
A validation rule blocks something.
The business explains that this case is different.
The reason sounds justified.
The exception is approved.
And everyone moves on.
The problem begins when the same “exception” comes back.
Then it comes back again.
And eventually people stop asking whether they are breaking the rule. Bypassing the control simply becomes part of the way the process works.
At that point, the exception itself is no longer the real problem.
The real problem is that the organization has stopped making a decision.
A legitimate exception should always have a serious and clearly justified business reason. It should not be an informal agreement between two people or a convenient way to get around a validation rule.
It is a temporary decision to accept a specific risk.
But temporary cannot mean indefinite.
Imagine that a mandatory field is missing and a validation prevents the process from continuing.
The business says the information is not currently available and asks to proceed anyway.
The first exception may be perfectly reasonable.
If the same situation happens repeatedly, however, I would eventually stop approving additional exceptions until the reason is understood.
That is where the Data Governance Committee becomes important.
The Data Owner should explain why the required information is continuously unavailable. If the same problem appears across several Data Owners or business areas, the question becomes even bigger.
Maybe the users are not the problem.
Maybe the process is.
Maybe the validation rule was designed around a business reality that no longer exists.
This is why recurring exceptions should trigger a review of the entire process rather than another approval.
The answer will not always be the same.
Some data points are required immediately because operational decisions depend on them. In those cases, I would insist that the information exists before the process can continue.
Other data may only be required for weekly, monthly or quarterly reporting.
There, allowing the process to continue can make sense, provided the missing information creates a clear obligation to complete it within a defined period.
For example, the system may allow the transaction to proceed but require the missing value within three days.
If the deadline is missed, the issue should be escalated to the Data Owner and the information should be completed.
If that still does not happen, the case belongs in the Data Governance Committee and, where necessary, with the Data Owner's management.
But sometimes the review shows something different.
The exception was justified because the business itself has changed.
Then the solution is not to keep approving exceptions forever.
The rule has to change.
That does not mean switching the old control off immediately.
I would keep the existing validation active until the new logic is ready. Known false flags during that transition can be formally managed as approved temporary exceptions.
The important thing is that the organization does not create a period in which nobody knows which control applies.
And a new validation rule is not an official process simply because the technical implementation works.
Before it becomes the new standard, it needs Data Governance Committee approval, updated documentation and clear communication to everyone affected by the change.
Only then should the new logic move into production.
At that point, the old temporary exceptions can be closed.
From there, the focus moves to what the new validations are telling us.
This distinction matters.
A temporary exception is a valid governance mechanism.
A permanent series of temporary exceptions is not.
When people repeatedly work around the same control, Data Governance has to force a decision.
Either the rule is still correct and needs to be followed.
Or the business has changed and the rule needs to change with it.
What should never happen is allowing the exception to quietly become the process.



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