Video
Anaplan Forecaster: Scaling Accuracy and Automation On-Demand Webinar
How do planning teams get forecasts they can trust without manually forecasting every line item? In this Anaplan Community Experience session, Shane Betlinski, Principal Architect at Spaulding Ridge, joins Anaplan’s Yaniv Dassa and Bill Dowling to share best practices for Anaplan Forecaster, the native forecasting engine built into the Anaplan platform. The session closes with a live demo of model building, backtesting, and explainability. Watch the full recording on the Anaplan Community.
Key Topics
- Direct & Native Integration: Anaplan Forecaster acts as a built-in time-series engine directly inside the Anaplan platform, eliminating the need for external tools, manual exports, or complex integrations.
- Driver-Based & Explainable Forecasts: Instead of outputting "black box" predictions, it clearly shows which variables—such as price changes, marketing promotions, or macroeconomic signals—are driving the forecast.
- A Focus on Clean Historical Data: The success of any implementation hinges on data quality; teams must spend time up front identifying stockouts, correcting one-time anomalies, and distinguishing true zeroes from missing data.
- "Forecast by Exception" Methodology: Rather than manually forecasting every line item, planners generate an automated baseline for all products and focus their manual override efforts solely on high-value or highly volatile items.
- Forecast Value Add (FVA) Tracking: Implementing a strict "touch policy" and measuring FVA helps organizations analyze whether manual overrides by planners are actually improving or degrading forecast accuracy.
