Overview

What If, CFO? introduces a modern approach to forecasting built for today's volatile world-where disruption is constant and single-number forecasts fall apart. Traditional methods create a false sense of precision; they don't show the upside potential or downside risk leaders need to navigate uncertainty. This book presents what-if forecasting: exploring multiple futures based on changing assumptions such as growth, volatility, or risk. Using Monte Carlo simulation, it generates thousands of outcomes to reveal realistic best- and worst-case ranges, not just a single number. Example: ""At 10% growth, expected revenue is $112m. Best case $123m. Worst case $101m (90% confidence)."" After reading, you'll see how what-if forecasting enables clearer, faster, and smarter decisions in a volatile world. About the author: Franco Arda is a data analyst from Switzerland. He has worked as a consultant for companies like Daimler-Benz, Swisscom, DHL, VW, BMW, Siemens, and Infineon Technologies. www.francoarda.com

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