TAM (Technical Attribute Management) continuously governs, enriches and classifies master data — applying both standard taxonomies (eCl@ss, UNSPSC) and custom organizational taxonomies, always at the most granular level of precision. It is also the interface through which field knowledge from operators, technicians and warehouse teams is captured directly into the Semantic Digital Twin. Extend with the Spend Analysis add-on for full spend classification and visibility.
Book a DemoThousands of duplicates causing excess inventory and procurement inefficiency.
Incomplete technical specs and wrong classifications blocking automation.
Materials and spend classified at surface level only — without granular, nature-based categorization that enables precise analysis and sourcing.
Data quality deteriorates again without continuous governance workflows.
TAM operates in two directions on the Unified Data Space: it reads Digital Twins from the UDS, and it writes back to it.
TAM reads Digital Twins from the UDS to display, validate and govern them. It is the interface through which users interact with the Digital Twins.
TAM enriches existing Digital Twins, creates new ones (including Golden Records), and captures field knowledge from operators, technicians and warehouse staff — feeding it back into the UDS.
Field teams on plant floors and in warehouses contribute physical-world knowledge directly into the Digital Twin, closing the gap between what systems record and what people know.
Cleanse, deduplicate and enrich all material and service records — including technical attributes, manufacturer codes and material group assignments.
Validate, standardize and enrich supplier profiles — commercial data, category classifications and compliance status.
Harmonize and enrich asset and equipment records — including field knowledge from operators and technicians — enabling virtual inventory and lifecycle management.
Eliminate duplicates, missing attributes and misclassified records.
Reduce excess stock by consolidating duplicate materials.
Clean, standardized master data ensures smooth ERP migrations.
Accurate, categorized data enables trustworthy analysis and strategic sourcing.
Governance workflows keep data quality high long after the initial cleansing.
With Spend Analysis add-on: identify and capture savings across categories and suppliers.
Discover how Creactives can govern your master data and capture field knowledge — on your own data.