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Master Data Mondays

A weekly series from Data Doctrine that makes master data management practical, not painful.

Learn how AI supports master data through entity resolution, classification, and enrichment without replacing core MDM discipline.

The Role of AI in Master Data (Part 1)

AI is changing master data work, but not by replacing MDM. It helps teams resolve entities, classify records, and enrich data faster when the foundation is strong.

Learn where master data automation works best, including match/merge, data quality checks, and stewardship workflows.

Practical Master Data Automation That Works

Master data automation works when it removes repeatable work without removing human judgment. This article shows where automation pays off, where it creates risk, and how to apply it safely across match/merge, data quality checks, and stewardship workflows.

Most MDM tool evaluations fail because teams score demos instead of fit. Learn how to judge extensibility, rules, deployment, governance, and PoC results.

How to Evaluate MDM Tools Without the Sales Pitch

Buying an MDM tool is not just a software decision. This article shows how to evaluate MDM platforms using real criteria: extensibility, rules engines, deployment model, integration fit, governance, operations, and proof of concept evidence.

Data Doctrine is a U.S.-based blog and toolset for data professionals, launched in 2025 to make master data management practical, plainspoken, and powerful. We publish weekly insights, playbooks, and hands-on strategies that help data teams:

  • Build trust in their data

  • Navigate complex MDM challenges

  • Bridge the gap between business and tech

Whether you’re cleaning up a data swamp, building a golden record, or convincing leadership to invest in data governance, we’re here to help you make sense of it all.