Post-Game Analysis
Data Requirements
Every decision your team has made is already captured. A few core files is all it takes to start the replay. Share more and the analysis goes deeper — but you're never waiting on perfect data to begin.
Item Master
Core item identifiers and richer product attributes used to slice results consistently across forecast, inventory, and service analysis.
ItemDescriptionCategoryBrandUOMStatusTypeSite / Location
Defines the sites or locations used in the forecast and actuals data, enabling site- and region-level review and serving as the location foundation for downstream PGAs.
SiteSite TypeRegion/StateSales / Shipment Actuals
Actual sales or shipment history — the "what really happened" side that the forecast is measured against.
ItemSiteCustomer (Optional)Actual QtyDateConsensus Forecast
The forecast produced by your planning team — the baseline we evaluate. Customer is only needed if forecasting at the customer level. Typically includes Lag and Planning Cycle for lag-based accuracy analysis.
Planning CycleItemSiteCustomer (Optional)Forecast DateLagForecast Qty
Customer Data
Enables account- and channel-level accuracy breakdowns.
CustomerCustomer DescriptionChannelPromotions & Events
Supports causal review of forecast spikes and misses tied to trade activity.
Event IDEvent TypeStart DateEnd DateItemCustomer