The Dark Side of BI - When data mislead decision-makers
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In the era of dashboards, KPIs, and predictive analytics, Business Intelligence (BI) is hailed as the future of smart decision-making. But what if the insights are misleading? What if biased models, flawed metrics, and ethical blind spots quietly undermine the very systems we rely on to lead? The Dark Side of BI pulls back the curtain on the hidden dangers of data-driven leadership. From corporate scandals and misaligned incentives to psychological traps and privacy failures, this book reveals how the misuse-and overuse-of BI can lead to billion-dollar mistakes, reputational damage, and organi...
In the era of dashboards, KPIs, and predictive analytics, Business Intelligence (BI) is hailed as the future of smart decision-making. But what if the insights are misleading? What if biased models, flawed metrics, and ethical blind spots quietly undermine the very systems we rely on to lead? The Dark Side of BI pulls back the curtain on the hidden dangers of data-driven leadership. From corporate scandals and misaligned incentives to psychological traps and privacy failures, this book reveals how the misuse-and overuse-of BI can lead to billion-dollar mistakes, reputational damage, and organizational chaos. Through gripping case studies-from fraudulent metrics to ignored safety warnings-this book uncovers the cognitive and ethical flaws that lurk behind even the most sophisticated BI platforms. It challenges business leaders, analysts, and engineers alike to rethink what it really means to be "data-driven" in a world where insight can mislead as easily as it can enlighten. Insightful, urgent, and unafraid, this is the BI book every organization needs-but no one wants to admit they do.
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