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…
Data Columns
Through the Looking Glass: Supply-Side Data Governance
Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the…
Data Speaks for Itself: What Could Possibly Go Wrong?
I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It…
Tales & Tips from the Trenches: A Data Acumen Quick Reference
Data Acumen, Literacy, and Culture Data literacy, or data acumen[1] as we like to call it, is increasingly cited as…
The Art of Lean Governance: Eliminating Waste Across the Data Factory
The time wasted spent collecting and validating data can approach 80% of the total effort for managing data. This estimate…
Zen and the Art of Data Maintenance: All Data is Suffering (Part 2)
In part 1 of this series, I shared how our reactions to data can cause a great deal of suffering…
All in the Data: The Same Difference of Data Governance and Data Management
What does your head do when someone uses the expression “same difference”? Mine explodes! Does it mean things are the…
Data Value Chain: Lego Framework – Level 1
In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail…
The Book Look: The Data Path Less Traveled
When is an answer “good enough”? There are many areas of data science and AI where we need to be…
Data Professional Introspective: Data Provider Management – Part 1
Why Your Organization Suffers This series of columns addresses an essential function that many organizations neglect, an overlooked set of…