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The Chief Forecaster will See You Now-Nate Kaemingk

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Manage episode 452050771 series 3351980
Content provided by Glenn Hopper. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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
  continue reading

102 episodes

Artwork
iconShare
 
Manage episode 452050771 series 3351980
Content provided by Glenn Hopper. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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
  continue reading

102 episodes

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