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Become a confident leader and use data, experience, and intuition to drive your decisions

Agile decision making is imperative as you lead in a data-driven world. Amid streams of data and countless meetings, we make hasty decisions, slow decisions, and often no decisions. Uniquely bridging theory and practice, Decisions Over Decimals breaks this pattern by uniting data intelligence with human judgment to get to action — a sharp approach the authors refer to as Quantitative Intuition (QI). QI raises the power of thinking beyond big data without neglecting it and chasing the perfect decision while appreciating that such a thing can never really exist.

Successful decision-makers are fierce interrogators. They square critical thinking with open-mindedness by blending information, intuition, and experience. Balancing these elements is at the heart of Decisions Over Decimals.

This book is not only designed to be read - but frequently referenced - as you face innumerable decision moments. It is the hands-on manual for confident, accurate decision-making you've been looking for; the rare resource that provides a set of pragmatic leadership tools to accelerate:

  • Effectively framing the problem for stakeholders
  • Synthesizing intelligence from incomplete information
  • Delivering decisions that stick

Strike the right balance between information and intuition and lead the smarter way with the real-world guidance found in Decisions Over Decimals.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Foreword
  6. Preface
  7. Prologue: The Certainty Myth
  8. CHAPTER 1: Asking Powerful Questions
  9. CHAPTER 2: Framing the Problem
  10. CHAPTER 3: Working Backward to Move Forward
  11. CHAPTER 4: Learning to Become a Fierce Data Interrogator
  12. CHAPTER 5: Developing Intuition forNumbers
  13. CHAPTER 6: From Analysis to Synthesis
  14. CHAPTER 7: The Decision Moment
  15. CHAPTER 8: Delivering the Decision
  16. CHAPTER 9: Chasing the Decision
  17. CHAPTER 10: Creating a Quantitative Intuition™ Culture
  18. CHAPTER 11: The Future of Data‐Driven Decision‐Making
  19. Epilogue
  20. Acknowledgments
  21. Index
  22. End User License Agreement
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