❝This book reveals how most organizations are approaching data wrong—and illuminates how to get it right. Sebastian Wernicke is a wizard at using evidence to shape successful change, and his guidance is insightful, timely, and instantly actionable.❞
Stop Optimizing. Start Transforming.
Break free from the data-driven "optimization trap" and harness the power of data and AI to fundamentally reinvent your business.
"A persuasive and timely invitation to rethink how we learn, decide, and adapt in a world awash with information."
"We needed Wernicke's advice a long time ago, but finally we have it."
"Data won't drive your transformation. But data can inspire it. Culture beats algorithms every time."
"Readable, accessible, and practical. A great starting point for building a culture in which rapid evidence-based learning at scale can become a reality."
"An essential roadmap for leaders who want to move beyond incremental optimization and inspire transformative innovation that truly matters"
"An indispensable compass for leaders, entrepreneurs, and investors who suspect they’re drowning in information but starving for meaning."
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What You'll Learn
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Turn "Data-Frustration" into "Data-Inspiration"
Build a resilient culture that sparks curiosity and drives real transformation.
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Overcome the true bottleneck of harnessing data and AI
Discover why the biggest barrier isn't tech, but your culture.
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Master the five action-areas of data-inspired success
Field-tested strategies for mastering transparency, decision-making, efficiency, automation, and AI.
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Build a roadmap that actually works
Learn to craft a "purpose first, data second" strategy and avoid the four "fatal traps" that derail most data initiatives.
Inside the Book
DATA INSPIRED is divided into five comprehensive parts, guiding you to the future of building a data-inspired organization.
Chapters 1–2: Why do so many companies find themselves "data-frustrated" rather than data-driven? We debunk the myth that data is just a technical asset and explore why it is actually a survival imperative. Learn why the true revolution isn't about collecting more data, but about overcoming the "optimization trap" to find transformative value.
Chapters 3–5: Technology is easy; people are hard. This section dives into the psychology of decision-making and the three persistent myths that derail data initiatives. Discover how to build a resilient "Culture of Inquiry" that overcomes the data-resistant mind and fosters true evidence-based leadership.
Chapters 6–10: A practical deep-dive into the five domains where data creates value: Metrics (steering without surrendering control), Complex Decisions (where data is a puzzle piece, not the answer), Operational Efficiency, Machine Learning, and the emerging frontier of AI-driven transformation.
Chapters 11–14: How do you actually get there? We map the journey from "Purpose First, Data Second" strategy to avoiding the four fatal traps of transformation. This part culminates in the "Data-Inspired Manifesto"—a blueprint for moving beyond data-fatigue to genuine inspiration.
Chapters 15–20: Hands-on resources to start immediately. This comprehensive toolkit includes frameworks for Data Literacy, methods for designing roles and responsibilities, and specific workshop formats for prioritizing use cases and planning data projects collaboratively.
