Good product data is complete, correct, consistent and demonstrable. In construction, where one wrong performance value endangers a tender or compliance, data quality is not a luxury but a condition.
The problem: silent gaps in the data
In scattered files, errors and gaps creep in unnoticed: a missing value, a wrong unit, a forgotten translation.
Validation built in
PimLayer safeguards quality at the source. Per product family you define what’s mandatory and what’s allowed:
- Mandatory fields, so a product isn’t published incomplete
- Allowed values and units per attribute
- Inheritance, so variants stay consistent with their family
- Channel readiness, with an overview of what’s still missing
Quality that grows with you
As your assortment grows, the need for control increases. Because the rules are in the system and not in someone’s head, quality stays guaranteed. And because every change is logged, you have the audit trail compliance requires.