Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published…
Data Columns
The Art of Lean Governance: A Systems Thinking Approach to Data Governance
A systems thinking approach to process control and optimization demands continual data quality feedback loops. Moving the quality checks upstream…
Eyes on Data: A Data Governance Study Bridging Industry and Academia
As autumn settles here in the northern hemisphere, with October baseball underway, the first frost arriving, and the holiday season…
A Step Ahead: IoT Communication – How Vast Data Is Moved
To fully understand IoT, one should know what the internet is first. Simply speaking, the internet is the abbreviation of…
All in the Data: A New Data Governance Season Is Here
As the new NFL season gets rolling, there’s a profound sense of anticipation in the air — the thrill of…
Data Professional Introspective: The Perennial Question
I’ve often encountered client staff, course students, and conference attendees who are grappling with the basic question: “What is the…
The Book Look: Enterprise Intelligence
Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow”…
Data Leader’s Playbook for Data Mapping
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would…
Through the Looking Glass: More Metaphors and LLMs
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
Legal Issues for Data Professionals: Current Leading U.S. AI Laws
There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in…