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.com
Connect 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 explained
Importance of not skipping out on the fact you need to update your plan
Why are we resistant to changing the budget?
The advantages of a rolling forecast
Using Leading Market Indicators 
DSO (Day Sales Outstanding) as a powerful forecasting example
How 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 years
Favorite Excel function

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