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Master Data Mondays

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

Most MDM programs fail by forcing one model to serve operations and analytics. Learn why separate operational and analytical MDM models work better.

The Case for Separate Operational and Analytical Models

Trying to use one master data model for both operations and analytics creates performance, governance, and trust issues. This article explains why MDM needs separate operational and analytical models—and how to design them correctly.

Practical guidance to design master data hierarchies that support business needs, avoid pitfalls, and ensure your data architecture is flexible and effective.

Designing Master Data Hierarchies That Actually Work

Many master data hierarchies fail to serve business needs due to rigid, flawed designs. This post shows how to build flexible, effective hierarchies that truly support data-driven decisions.

Slowly Changing Dimensions in Master Data Management (SCD Types Explained)

Slowly Changing Dimensions in Master Data Management

Slowly changing dimensions (SCDs) are the key to making master data useful across both operations and analytics. This article explains all SCD types (0–6), compares MDM vs DW treatment, and shows how to implement change tracking using SQL Server, Informatica, and ADF.

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.