Data Term Definitions

Golden Records

Golden records are a unified, shared, trusted view of business entity data across systems and sources.

What Are Golden Records?

A golden record is a unified, accurate, and reliable view of a single business entity across multiple data sources and datasets. It typically combines several source records through entity resolution and links them together with a unique, shared ID. Golden records streamline data management, leading to more accurate insights, improved decision-making, and stronger business performance. Using golden records to feed analytical, operational, and AI applications helps ensure better decision-making, stronger business performance, and more accurate insights.

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Golden Records 2.0: The AI-Native MDM Advantage

How Are Golden Records Different from Regular Data Records?

Golden records provide clean, curated, enriched versions of a company’s data that are resolved across systems and free of duplicates. They are considered the ground truth—the company’s best, most accurate, and trustworthy version of business entity data, serving as an enterprise-wide reference point for use in analytics, operations, and AI initiatives.

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Regular data records are entities stored within specific systems such as an ERP, CRM, etc. They are often inaccurate, incomplete, or duplicative, and are not reconciled with other sources. Unlike golden records, these records represent a single system’s perspective of the entity, not a unified one from systems and sources across the enterprise.

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How AI-Powered Entity Resolution Delivers Golden Records

What Are the Benefits of Golden Records?

Golden records provide a single source of truth, enabling organizations to realize greater value from their enterprise data. Clean, trustworthy golden records enable organizations to sell more effectively, enhance marketing outcomes, uncover new opportunities, reduce operational costs, and make more informed decisions. They are also critical for organizations to have confidence in the output of downstream LLM-based AI agents and applications.

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Unlocking AI-Driven Growth With Trusted Customer Data

What Tools or Platforms Can Be Used to Create Golden Records?

AI-native MDM platforms deliver the powerful entity resolution, data cleansing, and data enrichment capabilities organizations need to create golden records. By using a layered approach of advanced AI/ML models and agentic data curation capabilities along with select rules, AI-native MDM handles 95%+ of the work required to master data and deliver golden records at scale.

‍Resources

A Practical Guide to AI Models and Their Role in MDM

The Role of Rules in AI-Native MDM

Key Takeaways: Golden Records

Golden records are a single source of truth for a business entity’s data across multiple sources and datasets.
Unlike regular data records which reflect a siloed view of an entity, golden records provide the best, most accurate, and trustworthy view across systems and sources.
Golden records enable organizations to boost sales, improve operational performance, reduce risks, and make confident decisions.
AI-native MDM’s blend of advanced AI/ML, AI agents, and select rules enables organizations to deliver trustworthy golden records at scale.

Golden Records FAQs

What is entity resolution—and how does it help to create golden records?

Entity resolution, also known as entity linkage, record matching, or identity resolution, is a data management technique that identifies and matches records across multiple data sources to create a golden record of key business entities. It helps organizations resolve challenges related to duplicate data, data quality, and regulatory compliance by reconciling records across and within datasets.

How does Tamr package golden records so humans and machines can consume them?

Tamr uses data products to deliver golden records to all consumption endpoints so that both humans and machines can consume them to address specific business needs. Tamr offers a library of data products, including B2B and B2C Customers, Contacts, Healthcare Providers, Healthcare Organizations, Suppliers, Products, Locations, and more.

Can golden records be enriched with third-party data?

Yes, using the data enrichment capabilities of an AI-native MDM solution like Tamr, organizations can connect their internal data with trusted, third-party data providers like Dun & Bradstreet, Moody’s, Companies House, GLEIF, NPPES, and others to fill in missing fields, increase accuracy, and add meaningful context to their data, enabling richer, more complete golden records.

Related Data Terms

AI-Native Master Data Management (MDM)

A modern data mastering approach built and centered around AI.

Agentic Data Curation

Approach to data curation where AI agents analyze, explain, and resolve data issues.

Golden Records

Unified, shared, trusted views of business entity data across systems and sources.

Entity Resolution

Data management technique that identifies and matches records across systems.

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