.svg){kind=small}
What is Master Data Management (MDM)?
Master Data Management governs customer, product, and pricing data across systems
Master Data Management is the practice of governing customer, product, pricing, and contract data so it stays consistent across systems. MDM quality directly determines AI autonomy rates in commerce. Manufacturers with clean master data reach 80 to 95 percent autonomy. Manufacturers with poor master data plateau below 50 percent.
Master Data in depth
Key terms
- Customer master
- Sub-term in the Customer master category — define in body or link to related cornerstone.
- Material master
- Sub-term in the Material master category — define in body or link to related cornerstone.
- Pricing master
- Sub-term in the Pricing master category — define in body or link to related cornerstone.
- Data steward
- Sub-term in the Data steward category — define in body or link to related cornerstone.
- Golden record
- Sub-term in the Golden record category — define in body or link to related cornerstone.
Proof points
- Orders processed in under 60 seconds end-to-end (Go Autonomous benchmark).
- 18 percent quote-to-order win rate uplift after deployment.
- 43 percent capacity released across order processing teams.
- 60 percent throughput per employee gain on autonomous channels.
- 99 percent first-time-right rate on autonomous orders.
- Danfoss processes orders in under 1 minute across 26 countries.
- 30B+ B2B transactions executed across the Go Autonomous customer base.
Frequently asked questions
Why does master data quality determine AI autonomy?
AI agents validate every transaction against master data. If customer or material records are inconsistent, the agent cannot match intent to the ERP record and routes to a human. Clean master data lifts autonomy rate from below 50 percent to 80-95 percent.
What master data should I fix first for AI?
Fix customer master and material master first. These two domains drive the majority of order matching decisions. Pricing master and contract master come next. Trade compliance and tax master close the loop.
How long does MDM cleanup take?
Targeted cleanup for AI readiness takes 3 to 6 months. Enterprise MDM transformation runs 12 to 24 months. AI agents can run on partial cleanup if exceptions are routed sensibly.
Master Data in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
Master Data in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
