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Recent Posts
The Role of AI in Master Data (Part 2)
AI can support master data work through matching, classification, enrichment, and stewardship support. But AI should not be allowed to update trusted records without evidence, controls, and human review. This article explains the risks, hallucination patterns, and validation rules every MDM team should define before using AI in production.
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.
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.
About Us
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:
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.