Asset Data Enrichment

Turn scattered, inconsistent asset and MRO data into a governed, analytics-ready foundation for reliability, maintenance, and procurement.

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Why Enrichment Matters

If you’ve ever struggled to plan maintenance because of incomplete records or wasted hours chasing the right spare part, you already know the cost of poor data. Duplicates, missing attributes, and inconsistent naming create hidden risks across your operations.

Enrichment is how we fix that. We clean, complete, and standardize your asset and MRO item data so it’s usable, trustworthy, and ready for analysis—whether it’s for day-to-day work orders, predictive maintenance, or compliance reporting.

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What We Enrich

We go far beyond “data cleanup.” Our enrichment process covers data that actually supports reliability, purchasing, and decision-making.

Asset Master

Clear identification of equipment (make, model, serials, critical attributes, location hierarchy)

MRO Catalogs

Complete attributes for search and classification, duplicate detection and merging, consistent descriptions

Failure & Maintenance History

Normalized work orders, ISO-aligned failure codes, MTBF/MTTR profiles

Documents & Drawings

Datasheets, manuals, and P&IDs linked to the right tags and kept up to date

BOMs & Spares

Exploded bills of materials, cross-references between OEM and aftermarket parts, supersession tracking

Condition Monitoring Data

Structured fields for sensors, inspection routes, and predictive signatures

Standards that keep your data honest

We don’t reinvent the wheel—we use the same standards the industry trusts. Your enriched data will be aligned to:

ISO 14224 – Consistent equipment classes and failure data structures
ISO 55000/55001 – Asset management principles and lifecycle governance
ISO 8000 – Measurable data quality rules and validation checkpoints
ISO 15926 / IEC 61360 – Common data dictionaries and interoperability standards
Classification Frameworks – UNSPSC, eCl@ss, ETIM, GS1 for catalog and supply chain alignment

This means your data won’t just look better—it will work better, across systems and with external partners.

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Teams collaborating around enterprise asset and maintenance data

Services & Packages

Rapid Assessment (2–4 weeks)

Data profiling & Data Quality (DQ) scorecard (completeness, uniqueness, validity, consistency, conformity)
Gap-to-standard analysis (ISO 14224/8000/55000)
Quick-win backlog (top duplicates, naming fixes, attribute priorities)

Bulk Enrichment & Cleansing

OEM parsing from datasheets/manuals
Automated attribute extraction + human-in-the-loop validation
De-dupe & survivorship rules (source ranking)
Cross-plant harmonization and BOM normalization

Foundation Build

Reference taxonomies & class libraries (by asset family: pumps, compressors, heat exchangers, motors, gearboxes, valves, instrumentation)
Standardized attribute models (Mechanical, Electrical, Dimensions, Material, Performance, Safety) with mandatory/optional flags
Naming & Description Rules (short/long patterns)
Mastering & Stewardship workflows (RACI, approvals, change control)

Operationalization

Integration to SAP PM/EAM, Oracle EBS/Cloud, IBM Maximo, IFS, Infor EAM, Dynamics 365
DQ dashboards, exception queues, and continuous monitoring
Training for planners, reliability, and storeroom teams