The Data Man
Andy Graham, Anna JibgashviliThis newsletter attempts to demystify the world of data, data strategy, and modern organisations through stories, analogies, and real-world experience.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 55 | Founded | a year ago | Last Issue | 10 days ago |
| Active | |||||
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andygrahambooks.substack.comLatest Issues
Big Data: Business’s Most Overused and Least Understood Phrase
Photo by Mitul Grover on Unsplash
Big Data may be one of the most overused phrases in business today, and one of the least understood. It sits there in business vocabulary alongside phrases such as:
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Strategic Alignment
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North Star...
Four Candles, Fork Handles and an Uncomfortable Illusion
Photo by Faris Mohammed on Unsplash
Modern businesses run on data, but much of that data is built on an uncomfortable illusion. The assumption that everyone understands the words in the same way, but they don’t. The greatest threat to your...
As AI Becomes a Commodity, Data Becomes the New Moat
Photo by Alana Harris on Unsplash
The next phase of the AI race will not be won by whoever has the smartest AI model. It will be won by companies that own the data and trust in the quality of the data itself. This is the piece of the jigsa...
The Data Commercialisation Monitor
Photo by Adam Śmigielski on Unsplash
Issue #1 • August 2026 • Covering: 1st June – 24 August 2026
Editor’s Note
Welcome to the first issue of The Data Commercialisation Monitor a publication that tracks how companies across every secto...
Provenance is the Future of AI
Photo by JOSHUA COLEMAN on Unsplash
Mark the 2nd August 2026 in your diary as a historical date. If you from my generation you might want to keep a copy of the newspapers for that day, not sure what the Gen Z equivalent is, because mark my...
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| Subscribers | Engagement | 66 | Monthly Web Visits | ||
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Authors
The writers behind this newsletter.
Writing has become an interest that complements my day to day working life. I have currently three books published, the first two are more aimed at data professionals and the third is a history book on data aimed at the general public.
AI requires institutions to be digitally legible. I help lead the conversation and the action around foundational digital identity and share frameworks to operationalize intelligence consistently, with control and trust, and without convergence.
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