How This Tool Fits Into the Architecture
The PIM Quality Monitor sits as an observability layer on top of the PIM platform — not inside it. It reads quality signals that the PIM generates (completeness scores, validation flags, attribute fill rates) and makes them visible across the dimensions that matter most to a Product Owner: market, category, attribute type, and time.
The quality checkpoints marked on the diagram (①②③) represent the three moments in the data pipeline where quality is assessed: at ingest from source systems, at entry into the PIM, and before publication to channels. The monitor covers the fourth checkpoint — ongoing observation after publication, catching drift and regression that point-in-time gates cannot detect.
In production, the data layer (currently a static JS object) would be replaced by fetch calls to the PIM's REST API. Akeneo Enterprise returns completeness per product per channel per locale, which maps directly to the data structures used here.