As enterprises expand their ambitions for data, analytics, and AI, the Business Intelligence Competency Center (BICC) is ...

I’ve been working on an article continuing my exploration of human creativity and generative AI. This time, I take ...

In many mid-sized organizations, the real barriers to data maturity aren’t technical — they’re relational. Decisions get ...

A day in the life of an enterprise storage administrator was once mired in a schedule of tedious, manual work while managing ...

The business environment today is competitive. Whether your business is global or local, you are challenged to do more with ...

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 ...

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 ...

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 ...

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but ...

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 ...

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities ...

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives regulatory compliance, and sharpens competitive advantage. From cloud ...