Nate Kaemingk is Chief Forecaster for BetterForecasting.com, where he has built a financial forecasting AI for mid-market finance teams. Previously he has been a  Fractional CFO for two Montana based companies. Nate started his career as a mechanical engineer using inferential statistics to model chemical reactions in Diesel engines!  Later, during his MBA, he applied an inferential statistics background to forecasting and scenario analysis.  Nate has had the opportunity to apply these methods in roles with multiple Fortune 500 companies, including Cummins, and subsequently as CFO and Chief Forecaster at Better Forecasting. Episode links: www.BetterForecasting.comConnect with Nate (LinkedIn) https://www.linkedin.com/in/nathankaemingk/On this episode: Probabilistic Forecasting, small (not big data) and inferential statistics Rolling Forecasts vs Annual Budgets explainedImportance of not skipping out on the fact you need to update your planWhy are we resistant to changing the budget?The advantages of a rolling forecastUsing Leading Market Indicators DSO (Day Sales Outstanding) as a powerful forecasting exampleHow long range forecasting reveals structural issues in a business Building a driver-based model – and why it’s hard Renting an RV and touring the country for 3 yearsFavorite Excel function