Overview

What if the data you trust is lying to you? Is Data Failing Us? Rethinking Truth and Trust in Data dismantles our faith in data-and rebuilds it from the ground up. Discover how data missteps are far more than technical glitches-they shape industries, influence policies, and undermine our trust. Dive into incisive insights and unforgettable case studies, including: How ""garbage in, garbage out"" isn't just a warning-it's a crisis shaping business and governance. Revealing algorithmic misfires, distorted visuals, and privacy breaches that cost more than money. Why predictive models collapse without human nuance-and how scenario planning keeps them honest. The silent saboteurs in our minds: confirmation bias, overconfidence, and cognitive blind spots. High-stakes governance failures-from data leaks to flawed stewardship-that break trust. Ethical crossroads: algorithmic bias and privacy dilemmas that demand accountability. Action-first strategies to forge resilient, ethical, and trustworthy data ecosystems. This is essential reading for business leaders, technologists, policymakers, data professionals, and anyone curious about the hidden forces behind today's ""data-driven"" world. It's more than a book-it's a wake-up call.

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