Publisher's Synopsis
Trust, Truth, and the Data Pipeline: A Practical Philosophy for Decision-Making
From Copernicus to Corporate Data
In a world flooded with data but starved for clarity, how do we know what to trust?
This timely and provocative book invites readers on a journey-stretching from the astronomy of Copernicus to the analytics of the modern boardroom-to rethink what it means to make decisions in an age of digital overconfidence and algorithmic illusion.
Whether you're a C-level executive, enterprise data architect, policy-maker, data scientist, or simply someone who makes daily decisions with digital inputs, this book brings deep philosophical insight, technical wisdom, and pragmatic leadership clarity to the modern data conversation.
Drawing inspiration from thinkers like Richard Feynman and Niels Bohr, Trust, Truth, and the Data Pipeline doesn't just talk about data-it questions its foundations.
✔️ What does it mean to call data "true"?
✔️ When do we confuse trusted sources with trustworthy content?
✔️ How do organizations slip into consensus illusions-mistaking well-framed dashboards for reality?
✔️ What do disasters like NASA's Challenger and corporate scandals like Enron teach us about ignoring inconvenient signals?
Across 10 richly illustrated chapters (plus a special deep-dive on data deception), this book explores:
How truth and trust diverge in modern data culture
The lifecycle of data products as dynamic, evolving narratives-not static assets
The role of human bias in shaping what gets seen, believed, and acted upon
Corporate rituals that prioritize performance optics over analytical honesty
Why ephemeral, short-lived data products may be key to agile decision-making
The case for "frictionless verification"-a new design paradigm that blends AR/VR, sensory interfaces, and embedded provenance
The profound limits of "Zero Trust" architectures-and why some trust is always, inevitably placed somewhere
With vivid real-world stories, clear metaphors, and a uniquely human tone, this book offers not just a guide to better data governance-but a philosophy of action for leaders who must operate under uncertainty, pressure, and the weight of narrative.
"Absolute truth may exist. But for us mortals, it's a unicorn-chased endlessly, never captured. Context is everything."
If you're looking for a jargon-free, intellectually honest, and deeply human take on what it means to make trustworthy decisions with data, this is the book.
Let go of the illusion of certainty. Embrace the discipline of better questions.
