# One customer. One product. One truth. Across every system.

"Customer" in your CRM. "Client" in your ERP. "Account" in billing. Same entity — but your systems don’t know that. Fluree resolves entities across every source during ingestion, creating governed golden records with full lineage, continuous sync, and zero manual matching.

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## What Is A Golden Record

### One entity. One authoritative record. Every system sees the same truth.

A golden record is a single authoritative representation of a business entity — customer, product, supplier — built by resolving and merging data from every source system that touches it.

Without one, an LLM asking _"What’s our total exposure to Acme?"_ queries five fragmented records across five systems. The answer depends on which system it checks first.  With one, it queries a single resolved entity — connected, cited, and consistent.

Fluree creates golden records as a natural output of graph construction — not as a separate 18-month MDM project.

### Connect your systems

Fluree reads from your CRM, ERP, billing, support, warehouse, and SaaS systems. Data stays in place; Fluree classifies it and begins resolving entities during ingestion.

### AI resolves entities

Fluree Sense uses semantic matching, address normalization, and relationship analysis to identify the same entity across systems. Every match carries a confidence score.

### Golden record assembly

The resolved entity becomes a graph node — one authoritative record with attributes merged per your conflict-resolution rules, with full lineage on every field.

### Continuous sync

Change data capture keeps golden records current. When a source updates an address, the record reflects it in minutes — never batch-stale, never waiting for tomorrow’s run.

## Why Fluree’s Golden Records Are Different

### Six capabilities traditional MDM bolts on. We build in.

### Golden records live in the graph, not a master-data silo

Traditional MDM bolts on a separate hub that must be synchronized with every source system. Fluree resolves entities during ingestion — the golden record is a first-class graph node, connected to its semantic model, access policy, and AI retrieval layer.

- Entity resolution during ingestion, not as a separate project
- Golden records as connected graph nodes
- One node, one policy, one retrieval surface

### Context-aware resolution, not brittle manual rules

Fluree Sense understands that 'Acme Corp' at 100 Main St with a Widget Pro purchase is almost certainly the same entity as 'Acme Corporation' at 100 Main Street with a Widget Pro support ticket — based on relationships and context, not just string similarity.

- Context-aware semantic matching
- Relationship-aware, not keyword-based
- Learns from your data patterns

### Source, timestamp, and confidence for every field

When the revenue figure says $4.2M, you see it: sourced from ERP (updated 3/15), confirmed by billing, overrides CRM estimate per source-priority rules. No black box — every merge decision is logged, auditable, and explainable.

- Source-system traceability on every attribute
- Timestamps + confidence scores
- Full conflict-resolution audit trail

### Same golden record from databases, PDFs, and emails

Traditional MDM resolves across structured databases only. Fluree resolves across structured data with Sense AND unstructured content with CAM — so a customer in a contract PDF, a support email, and your CRM all reconcile to one governed record.

- Sense handles databases and SaaS apps
- CAM handles PDFs, contracts, emails, audio
- One entity view across every data type

### Change data capture — minutes, not nightly batches

Traditional MDM runs batch reconciliation — nightly, weekly, or on demand. Between runs, your master data is stale. Fluree uses CDC for near real-time sync: when a source updates an address, the golden record reflects it within minutes.

- Change data capture keeps records current
- Minutes, not overnight windows
- Always-current entity view for every system

### Golden records agents can actually reason over

Golden records in the knowledge graph are directly queryable via GraphRAG and MCP. When an LLM asks about total exposure to a vendor, it queries one resolved entity — not five fragmented records across five systems.

- Native MCP + GraphRAG retrieval
- One entity, one answer, no duplicates
- The prerequisite for accurate enterprise AI

| Capability | Traditional<br>MDM platforms | Fluree<br>Golden records |
| --- | --- | --- |
| Architecture | Separate MDM hub + sync infrastructure | Native to the knowledge graph, no separate hub |
| Matching | Manual rules + string comparisons | AI-powered context-aware semantic matching |
| Unstructured data | Not supported | Native via Fluree CAM entity extraction |
| Time to value | 12–18 months | 4–8 weeks |
| Sync model | Batch — nightly or weekly | CDC — near real-time |
| Lineage | Partial — source only | Source, timestamp, and confidence on every attribute |
| AI / GraphRAG | Separate export, separate pipeline | Native — agents query resolved entities directly |
| Semantic model | Not supported | Entities linked to ontology and governed vocabulary |
| Investment | $10M+ with SI services | Platform-native — no separate MDM spend |

## FAQ

### What is a golden record?
### How is this different from traditional MDM?
### What matching methods does Fluree use?
### Can golden records include data from unstructured content?
### How does Fluree handle conflicting data across sources?
### Do golden records stay current?
### How do golden records improve AI accuracy?
### Do we need to replace our existing MDM platform?