SAP IBP/ Power BI for Automated Statistical Forecasting

Statistical forecasting methods and features Several statistical forecast methodologies can be implemented in SAP IBP/ Power BI and are currently available in the application. Each forecast methodology contains at least two of the listed features below: Baseline Irregular fluctuations Trend Cyclicity Seasonality Statistical forecast methodologies: Regression (linear, logarithmic, exponential, power) Historical average/moving average (single, double) Driver-based forecast Exponential smoothing (simple, double, triple) Holt’s linear trend Decomposition (additive, multiplicative/linear/logarithmic, exponential, power) Winter’s additive/mulitplicative Solution features Features of the automated statistical forecast application Forecast methodologies with associated parameters. Forecast scenarios for comparison. Forecast features adapt to forecast needs. Selecting forecast methods based on maximizing performance and minimizing variance. Visualization of all forecasting technique