The Book Look: Collecting, Connecting, and Correcting the Dots
I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all…
Data Columns
Data Value Chain: Enterprise Data Management (EDM) Framework (Lego Version)
Data driven organizations are innovating faster than ever. Data Science program maturity and processes enablement is one of the reasons…
All in the Data: Governing Data Mesh and Fabric
Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 The…
Data Professional Introspective: What Good Data Look Like – Part 5
Let’s assume this scenario — Your organization has conducted an EDM Assessment. You now have detailed knowledge of your data…
Beyond Data’s Gender Gap: Equity Initiatives
In the last installment of this column, we looked at the myriad of identities that are often under-accounted for or…
Data is Risky Business: Thinking the Unthinkable
This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding…
Through the Looking Glass: The Context of Out-of-Tune Data
Back when I studied cello in college, I would seclude myself in a tiny practice room (we called them “cells,”…
The Data-Centric Revolution: Incremental Stealth Legacy Modernization
I’m reading the book Kill it with Fire by Marianne Bellotti. It’s a good book. Plenty of pragmatic advice, both…
Data Speaks for Itself: Data Littering
No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with…
Zen and the Art of Data Maintenance: Don’t Integrate, Don’t Separate – Indegrate
One of the most common and important dialogues is when the enterprise data architect expresses the need to integrate and…