Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...
In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose health ...
The enterprises that run our economy deploy business intelligence tools to put the power of analytics into the hands of ...
For several years, I have been an advocate for the concept of positive data control or PDC. It is the idea of placing a layer ...
I had an epiphany while on the ice with my team. Our team has been together since 2018 — we’ve competed in several leagues, played in several tournaments, and even played against former Olympians 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 ...
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 ...
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 ...
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 ...
Over the years, I have been asked several times to consolidate all the roles and responsibilities necessary to deliver a successful Data Governance program into a single article. In this article, I am ...
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 ...
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 ...