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FP&A isn’t just about crunching numbers – it’s about guiding leaders through uncertainty. In this session, Matt Poleski will compare and contrast how to use Thomas Bayes’ statistical model versus Ronald Fisher’s classical statistics. Thomas Bayes’ statistical model shows us how to adapt forecasts like a living document, updating beliefs as new evidence arrives, whereas Ronald Fisher reminds us to anchor those forecasts in rigor, testing significance before we act. But numbers alone don’t move people. By combining storytelling skills with data, finance leaders can become more influential while utilizing statistics. Join this exciting keynote which will address key points, including: Thomas Bayes’ statistical model of adaptability and how it creates forecasts that evolve with evidence Ronald Fisher’s classical statistics model of rigor that provides results with confidence How therapist skills can influence and help finance leaders act on numbers with empathy and stories Prioritizing marginal revenue and compensation focuses instead of averages to create a strategic map to help visualize trade-offs between growth and margin