Data quality checks before modeling

Forecast measures make sense only when their assumptions are visible. This article unpacks data quality checks before modeling and the common interpretation trap to avoid.

Practitioner lens

Use a simple baseline when learning data quality checks before modeling. It makes model value visible and can expose a data issue that would otherwise be mistaken for algorithmic improvement.

First experiment

State the units, time bucket and demand definition alongside every chart or score.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.