Research & platforms · MRO & master data
DataCommand: AI-native data quality and enrichment
Legacy data quality tools were built before large language models existed. DataCommand was not. It cleanses, matches and enriches MRO and master data with AI at the core — and it is a Wiz product.
PLT / DataCommand — Capabilities
What it does
- Cleansing & standardisation — noisy item descriptions, part numbers and attributes normalised at scale.
- Entity resolution & matching — duplicates reconciled across plants, systems and suppliers.
- AI enrichment — missing attributes, classifications and taxonomies filled from context, not templates.
- Stewardship workflow — exceptions routed to the right people with a clear audit trail.
- Governed by design — lineage, policy control and standards alignment built in, not bolted on.
PLT / DataCommand — Fit
Who it serves
Manufacturing & MRO
Spare parts, materials and asset data mastered across plants and ERPs.
Consumer & retail
Product data mastered so new launches reach every channel the same day.
Enterprise data teams
Anyone replacing legacy DQ tooling with an AI-native alternative.
PLT / DataCommand — Status
Where it stands
DataCommand is the most commercially mature product carrying the Wiz brand, deployed in live client estates including master data programmes on Semarchy xDM and Azure.
SYS — Start here
See DataCommand on your own problem
Bring a sample of your data or a live scenario. We will show you what the platform does with it.
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