Data quality · 6 min read
The 60 percent problem
A premium brand assumed its warranty numbers were complete. The systems said otherwise. What partial warranty coverage really costs, and how to close the gap.
Data quality · 6 min read
A premium brand assumed its warranty numbers were complete. The systems said otherwise. What partial warranty coverage really costs, and how to close the gap.
In a real manufacturing project, only around 60% of warranty numbers were reliably available in the systems. Nobody had decided that. It accumulated: four factories with four file formats, imports that silently skipped rows, legacy records that never migrated, and no single owner of the end-to-end flow.
Every missing record becomes a manual investigation at the service desk. An agent asks a factory contact, the factory contact searches an old export, the customer waits. For a premium brand the cost is not just the hour of work. It is the moment the warranty promise visibly fails in front of a customer, dealer or installer.
A one-time cleanup restores coverage until the next factory file breaks it again. The durable fix is a governed flow: validation before import, factory-specific transformation rules, enrichment for special cases, error reports with named owners, and notifications when data does not arrive on time.
Living with this problem in your own warranty or factory data flow?
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