In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

A surge of excitement around AI, several pilots launched quickly, impressive demos, and then very little that actually makes ...

Peter Chen invented data modeling with his innovative way of showing data structures in terms of entities and relationships. For the first time, complex data could be modeled so it was understandable ...

Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me ...

Rather than defining the terms data governance and data stewardship with each chapter of this series, I would like to begin the series by providing my most recent definitions here at the outset and ...

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really ...

The term “data culture” is frequently used to describe a normative view about how an organization functions (or more precisely, should function) with respect to its data. The term is not particularly ...

We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades ...