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 ...
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 ...
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 ...
On my recent trip to London I visited the House of Lords. Imagine how surprised I was to hear Lords discussing a data-modeling question. A government minister was defending a definition from his data ...
Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...
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 ...
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 ...
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