Why Enrichment Matters
Maintenance teams don’t fail for lack of effort—they fail for lack of findable, trustworthy data. Incomplete specs, duplicate part numbers, vendor aliases, and wrong units of measure ripple into stockouts, rush orders, inflated inventory, and wrench time lost to searching.
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Enrichment fixes this by standardizing, completing, and governing your MRO and asset data so it works across EAM/CMMS and ERP (SAP, Oracle, Maximo, IFS, Infor, etc.).
The result: faster part identification, higher PM/repair hit rates, lower working capital, and clean analytics you can trust.
What We Enrich
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Noun–modifier standardization (e.g., Bearing, Roller, Needle), long/short descriptions
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Manufacturer & OEM normalization, approved alternates, cross-references, supersessions/obsolescence
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Technical attributes by class (dimensions, materials, performance ratings, approvals)
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Vendor master hygiene (dedupe, legal entity normalization)
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Contracted pricing linkage, lead times, delivery calendars
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UNSPSC/eCl@ss/ETIM coding for sourcing and analytics
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BOM explosion & reconciliation to item master; missing parts identification
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Critical spares tagging; ABC/criticality coding aligned to risk
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Nameplate capture (model/serial, plate attributes) and photo-to-attribute extraction
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PM task list parts alignment; recommended min/max with lead-time sensitivity
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Synonyms/aliases, multilingual descriptions
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Faceted search attributes (thread, size, power, flow, material, rating, etc.)
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Golden record IDs and survivorship rules across systems
Standards that keep your data honest
We anchor enrichment to widely adopted standards so your data is portable, auditable, and future-proof.
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ISO 14224 / ISO 55000 – Asset & reliability information structure and asset management
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ISO 8000 / ISO 22745 – Data quality, master data exchange
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UNSPSC, eCl@ss, ETIM, GS1 – Classification and product data models
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IEC 61360 / ISO 15926 – Attribute dictionaries for technical products
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ECCMA DQM – Practical data quality measurements
(We’ll map to your in-house taxonomy and keep round-trips to these standards traceable.)
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Services & Packages
Purpose: Quick, evidence-based plan to fix MRO data.
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Data profiling (duplicates, UoM inconsistencies, attribute gaps, non-compliant records)
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Sample class-level enrichment (e.g., Bearings, Seals, Motors)
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Target taxonomy & governance blueprint
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ROI model & prioritized roadmap
Deliverables: Assessment report, heat-maps, sample enriched dataset, playbook.
Purpose: Lift-and-shift your current data to a clean, standardized state.
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Manufacturer normalization, PN validation, alternates/supersessions
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Attribute extraction at scale (ML-assisted + Human Quality Assurance (QA))
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Description rewrite (short/long) and multilingual variants
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Deduplication, UoM harmonization, classification coding
Deliverables: Fully enriched masters (items/BOMs), exception logs, before/after data quality metrics, and load-ready files/APIs.
Purpose: Put the scaffolding in place for sustainable quality.
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Noun–modifier taxonomy design and attribute dictionary
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Standards mapping (UNSPSC/eCl@ss/ETIM) and crosswalks
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Golden-record model, survivorship & data quality rules
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Data governance operating model (roles, RACI, workflows)
Deliverables: Taxonomy & attribute library, rule catalog, governance Standard Operating Procedures (SOP), integration specs.
Purpose: Keep data clean as your business evolves.
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Change-data capture pipelines and enrichment for new records
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Embedded workflows (create/change) in ERP/EAM with approvals
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Ongoing Data Quality monitoring dashboards & Service Level Agreements (SLA)
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Periodic refresh for obsolescence, pricing, lead times, compliance
Deliverables: Automated pipelines, dashboards, SLA reports, and quarterly optimization packs. -
Add-ons: image/nameplate capture, storeroom labeling & barcode/QR rollout, catalog/punchout enablement, min/max tuning.
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How We Deliver
Discover:
Workshops and sample profiling to align taxonomy, priorities, and outcomes.
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Design:
Class model, attributes, and standards mapping with clear acceptance criteria.
Enrich:
ML-assisted extraction + expert stewards + Quality Assurance gates; full audit trails.
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Integrate:
APIs/flat files into SAP/Oracle/Maximo/IFS/Infor; zero-downtime cutovers.
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Govern:
DQ rules, owner workflows, and dashboards to keep it clean—permanently.
Why it Matters
Find fast, fix faster
Techs get the right part the first time; fewer kitted-job delays
Cut inventory safely
Reduce duplicates and over-stocks without risking stockouts
Buy smarter
Clean alternates and classes enable strategic sourcing and price compliance
Trust your metrics
MTBF/MTTR, PM compliance, and spend reports reflect reality
Be future-ready
Reliable data underpins predictive maintenance, AI search, and analytics