In this article, discover how clearly separating rolling forecasts from continuous planning unlocks the real value of AI/ML in FP&A.
Nate Kaemingk
Nate is the Chief Forecaster for BetterForecasting.com, who has launched a Forecasting Copilot for finance teams!
Nate started his career as a mechanical engineer using inferential statistics to build models that earned seven patents. Later, during his MBA, his inferential statistics background quickly became advantageous in forecasting and scenario analysis. Nate has had the opportunity to apply these methods in roles with multiple Fortune 500 companies and subsequently as CFO and Chief Forecaster.
Nate lives in a suburb of Atlanta with his wife, two daughters, and several dogs.
Author's Articles
Inflation and recession are creating chaos for most businesses in the world right now. In this article, we will explore some of the macroeconomic theories driving the current inflationary environment. These theories will allow you to understand, model, and advise your company on its options for addressing chaos and uncertainty.
The benefits of measuring seasonality of accuracy are that users can plan high/low scenarios for each prediction based on the season-specific range of possibilities. Departments can adjust how much capacity, safety stock, or cash reserves are needed based on their own worst case. And it's easier to determine missing factors for model improvement when you focus on adding predictors to the high noise areas of the model.