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 Columns
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…
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…
Data is Risky Business: The Importance of Fundamentals
In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we…
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…
Data Speaks for Itself: Data Speaks as Product
One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when…
The Art of Lean Governance: Go Lean and Stop Burning Cash
Lean Governance is a proven method to stop burning your company’s cash. This approach is all about saving money by…
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…