A KPI taxonomy and a KPI catalog are not the same thing.
A KPI taxonomy is the classification structure for metrics. It defines how KPIs are grouped, named, and related across the business. For example, it may organize KPIs by process, asset class, production stage, site, functional owner, time horizon, or regulatory relevance.
A KPI catalog is the controlled list of actual KPIs in use or approved for use. It typically contains each KPI’s name, definition, formula, unit of measure, source systems, calculation logic, owner, review cadence, thresholds, and version history.
If you think of metrics as a library, the taxonomy is the shelving system and classification rules. The catalog is the set of books with their detailed records.
Without a taxonomy, a catalog often becomes a flat list of loosely defined metrics. Different plants or functions may create near-duplicates such as OEE, Line OEE, Adjusted OEE, and Shift OEE without clear relationships. That makes cross-site reporting, governance, and comparison harder.
Without a catalog, a taxonomy stays abstract. You may know that metrics should be grouped under quality, throughput, maintenance, or compliance, but you still do not have controlled KPI definitions that operations, quality, engineering, and IT can implement consistently.
In regulated or highly controlled environments, the catalog usually carries more operational weight because it is where definition control, data lineage, ownership, and change history need to live. But the taxonomy is what prevents the catalog from becoming inconsistent over time.
A KPI taxonomy often includes:
A KPI catalog often includes:
This difference becomes more important when metrics come from mixed MES, ERP, PLM, QMS, historian, CMMS, spreadsheet, and manual sources. In those environments, replacing everything with one standardized KPI platform is usually not realistic. Full replacement strategies often fail because of qualification burden, validation cost, downtime risk, integration complexity, and the long lifecycle of production assets and quality systems.
In practice, organizations often use the taxonomy to normalize meaning across systems, and the catalog to document how each KPI is actually calculated in each context. That means the same named KPI may still have site-specific dependencies if source data models, event capture quality, or master data discipline differ.
So the answer is not that one replaces the other. You usually need both, especially if you want traceability and controlled metric changes without forcing a full system overhaul.
A common mistake is calling a dashboard metric list a taxonomy. It usually is not. If it does not define classification logic and relationships, it is closer to a basic catalog or even just a report inventory.
Another common mistake is building a taxonomy without governance. If no one maintains the catalog entries, approves formula changes, or reconciles source-system differences, the taxonomy will look clean on paper while the actual reporting remains inconsistent.
If your question is, How should metrics be organized and governed?, you are talking about a taxonomy.
If your question is, What exact KPIs do we use, and how are they defined and computed?, you are talking about a catalog.
If your organization is trying to standardize KPI reporting across sites, suppliers, or programs, start with a lightweight taxonomy and then build a governed catalog tied to real source systems and change control. Doing the reverse often creates rework.
Whether you're managing 1 site or 100, C-981 adapts to your environment and scales with your needs—without the complexity of traditional systems.
