By W H Inmon With ChatGPT and Generative AI comes the LLM – large language model. The LLM contains, among other things, a vocabulary that…
Data Integrity in a New Light – A New View of Data Management and Ethics
By Anne Marie Smith, Ph.D., FIDM, ADGP A new definition of data integrity focuses on an ethical approach to managing and using data, providing an…
Start Your BI Journey with the Data Model
By Jeremiah Willett Data Principles is currently building a training course for a client: Introduction to Power BI. One of the most important topics in…
Conceptual Data Models and Relationships
By Pete Stiglich Explains how conceptual data models (CDMs) capture core business concepts and the meaning of relationships before you get into implementation details. It…
Key insights on source data for healthcare analytics & exchanges
By Pete Stiglich Explains why integrating healthcare datasets is hard when metadata is incomplete—especially as data exchange accelerates. The post proposes creating a standard ‘what…
Business Glossary – Sooner Rather than Later
By Pete Stiglich Argues that implementing an enterprise business glossary early is one of the best investments for major data initiatives like MDM, EDW, CRM,…
Disruption caused by Data Governance?
By Pete Stiglich Addresses the concern that governance might slow teams down or feel like a ‘roadblock.’ The post argues that data governance is inherently…
Data Governance and Data Stewardship – keys to successful enterprise data initiatives
By Pete Stiglich Explains that enterprise data initiatives succeed when business involvement is strong, and it distinguishes three kinds of involvement: stakeholders, data governance, and…
A Wish List for Data Modeling Technology
By Pete Stiglich A practitioner’s “wish list” for what modern data-modeling tools should do better: support collaboration, manage definitions and metadata as first‑class artifacts, and…
Healthcare Data Modeling Governance
By Pete Stiglich Discusses why healthcare environments need both strong data modeling discipline and governance to achieve trustworthy analytics and compliance. It highlights that complex…
