Multi-Domain Golden Records

Four Domains, Four Versions Of The Truth

Customers are mastered in one tool, suppliers in a spreadsheet, products in the ERP and locations nowhere at all. Each domain has its own rules, its own IDs and its own idea of what a duplicate is, so nothing connects across them.

One Business, Four SilosWithout an identity layer
crm.accountsRedwood Health PartnersCustomer · owner: J. PatelCustomer only
ap.vendorsRedwood Health Ptnrs LLCVendor · rebate agreementVendor only
logistics.sites400 Oak AvenueDelivery site · no account linkUnlinked

The same hospital group is a customer in CRM, a vendor in AP and an unmatched address in logistics. No system knows it is one organization.

The Problem

Mastering One Domain Is Not Enough

Most organizations master data one domain at a time. Customer data gets a project, then supplier data gets another, often on a different tool with different matching logic. Product and location data wait their turn, sometimes for years.

The result is a set of golden records that do not talk to each other. A company that is both a customer and a supplier has two masters with two IDs. A product cannot be tied to the suppliers who make it or the sites that stock it, because each domain resolved itself in isolation.

Every extra domain also adds another tool to license, another pipeline to run and another copy of the data outside your warehouse. The cost grows with every domain while the cross-domain questions stay unanswered.

Masters That Don’t Connect

Customer, supplier and product records are each clean on their own and impossible to join across.

One Tool Per Domain

Separate projects, licenses and pipelines for every domain, with different rules in each.

Copies Outside The Warehouse

Each tool keeps its own copy of the data, under its own access rules.

The Solution

One Platform For Every Domain

Master every domain with the same approach and in the same place: the data platform where the source data already lives. Resolve customers, suppliers, products and locations with models fitted to each, and write golden records back to tables that sit next to everything else.

Give every golden record a stable ID, and keep the link from that ID to its source records. Then cross-domain questions become joins: which customers are also suppliers, which suppliers make which products, which sites serve which accounts.

One Golden Record
Source records3 records
crm.accountsRedwood Health Partnersredwoodhealth.org · 400 Oak Ave, Denver
erp.customersREDWOOD HEALTH PTNRS LLCTax ID 84-2219034 · Denver, CO
billing.accountsRedwood Health[email protected] · Net 30
Zingg
Golden record1 entity
ZINGG_ID · 5c1e-77adResolved
Redwood Health Partners
crm.accountserp.customersbilling.accounts

Every team reads this record from your own tables, with the source records still traceable.

Same Approach, Every Domain

One way to define, match and publish entities, whatever the domain.

Stable IDs Per Entity

Each golden record keeps its ID, so other domains can link to it.

Domains Join Up

Customer, supplier, product and location records reference each other by ID.

Where Zingg Sits

The Identity Layer Under Master Data

Zingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.

Used by
BI & dashboardsAI agents & RAGOperational appsReverse ETLData science

Reads your tables in placeWrites golden records and ZINGG_ID backNo copies leave the platform

Your data platform
DatabricksSnowflakeMicrosoft FabricGCPAWS

The same layer powersCustomer Analytics & MarketingFinancial Crime & RiskPrivacy & ComplianceSupply Chain & ProcurementProduct 360AI and Agentic Foundations

Golden Records, In Your Own Tables

Any Entity

Define the fields for each domain and train Zingg on labels from your own data. Customers, suppliers, products and locations each get their own model.

Persistent ZINGG_ID

Every golden record gets a ZINGG_ID that stays stable across runs and traces back to its source records.

AI Plus Rules

Learned fuzzy matching runs with deterministic rules on keys like tax IDs and GTINs. Entity resolution engine

Native To Your Platform

Runs inside Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS. Golden records are tables in your account.

We moved from using Zingg Open Source to the Enterprise version on Snowflake, making it the engine powering our golden records. Zingg’s powerful features and clean results have really set us apart.
Shelomo Dobkin, Director of Product Development at Orthodox Union
Shelomo DobkinDirector of Product Development, Orthodox Union
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FAQ

Multi-Domain Golden Records Questions

Which domains can Zingg master?

Any entity you can describe with fields: customers, households, suppliers, products, locations, patients and more. Each domain gets its own model trained on your labels.

Where do the golden records live?

In your own warehouse or lakehouse, as tables next to your source data. Zingg runs inside Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS.

Can golden records in different domains reference each other?

Yes. Each golden record has a persistent ZINGG_ID, so you can link customers to suppliers, products to manufacturers and accounts to sites with ordinary joins.

Is it batch or real time?

Batch today, with incremental runs that process only new, updated and deleted records. Streaming is coming soon.

Master Every DomainIn One Place

Build golden records for every domain inside your own data platform.