The Data-Centric Revolution: Evolution of Metrics in a Data-Centric Enterprise (Part 2)
In the previous installment of this series, we outlined a progression that we believe firms can and should work through as they use metrics to try to…
data centric
The Data-Centric Revolution: Evolution of Metrics in a Data-Centric Enterprise (Part 1)
I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that. We…
The Data-Centric Revolution: The Year of the Knowledge Graph
Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we…
The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
Several years ago, as part of some strategic marketing, we decided to target certain companies and industries. The thinking was…
Data-Centric: How Big Things Get Done (in IT)
I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then.…
Data Centric Revolution: Is a Knowledge Ontology the Missing Link?
You would think that after knocking around in semantics and knowledge graphs for over two decades I’d have had a…
The Data-Centric Revolution: Zero Copy Integration
I love the term “Zero Copy Integration.” I didn’t come up with it, it was the Data Collaboration Alliance,[1] that…
The Data-Centric Revolution: Detour / Shortcut to FAIR
The FAIR principles for data sets are gaining traction, especially in the pharmaceutical industry in Europe. FAIR stands for: Findable,…
The Data-Centric Revolution: OWL as a Discipline
Many developers pooh-pooh OWL (the dyslexic acronym for the Web Ontology Language). Many decry it as “too hard,” which seems…