Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...

Chief information security officers (CISOs) have increasingly incorporated cyber storage resilience into ...

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 ...

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 ...

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that ...

Data warehouses require a sizeable commitment of organizational resources. As a result, there is considerable interest in how they are initially justified and later assessed. Data warehousing costs ...

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 ...

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 ...

Companies can gain a significant competitive advantage if they leverage their data assets better. Corporate boards and C-level executives are under tremendous pressure related to business critical ...

The article begins by comparing and contrasting these disciplines and demonstrates how a framework can be used to benefit each. The readers of TDAN.com are intimately familiar with the discipline of ...

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 ...