We believe the success of every sales and operations plan lies in the accuracy of the baseline forecast. John Galt has compiled a list of business and sales forecasting techniques that address many of the business issues facing companies today.
Forecast Model Selection
Accuracy Statistics
- Theil’s Statistic
- Sum Squared Error (SSE)
- Standard Deviation of Error
- Root Mean Square Error (RMSE)
- R-Squared
Business Modeling
Causal Forecasting
- Stepwise Regression with Dynamic Lagging
- Multiple Regression
- Polynomial Regression
- Linear Regression
Descriptive Statistics
Distributions
Expert Selection
Multi-Level Grouping
New Products
Seasonal Models
- Holt’s Winters Exponential Smoothing (Additive and Multiplicative)
- Decomposition (Additive and Multiplicative)
- Census II X-11 (Additive and Multiplicative)
- Box-Jenkins (ARIMA Modeling)
Simple Methods (Time Series)
- Time Series Explained
- Moving Average
- Weighted Moving Average
- Simple Exponential Smoothing
- Holt’s Double Exponential Smoothing
- Brown’s Triple Exponential Smoothing