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…
Business Intelligence Columns
Business Intelligence Columns
Data’s Gender Gap: A Data Equity Reading List
Over the course of this column, I’ve cited a wide variety of sources regarding gender, technology, data, and more. As…
The Data-Centric Revolution: Headless BI and the Metrics Layer
Occasionally, I pick up on trends in my peripheral vision. These are trends that aren’t in the center of my…
Through the Looking Glass: Suspending Judgement on Synthetic Data
Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent…
Zen and the Art of Data Maintenance: All Data is Suffering (Part 1)
Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital…
Tales & Tips from the Trenches: Edge Computing Challenges and Strategies
This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the…
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…
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…
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…
Data Value Chain: Analysis-Enable Data Products
In 2021, there were many new use cases that came to life and became viable “data products” due to focus…