Smart Forecasting

Purpose

Smart Forecasting is designed to automate forecast refinement by using budget versus actuals, identified patterns, and open data explicitly mentioned in the provided information, such as markets, e-reputation, and economic situation.

Primary users

The primary user is not specified in the provided information.

Where it fits (process/stage/trigger)

Smart Forecasting fits into forecasting processes where budget and actuals need to be compared and refined with available contextual signals from patterns and open data.

Key capabilities / workflow

The workflow analyzes budget and actuals, checks whether the necessary data is available, extracts patterns and available open data signals, validates whether the forecast has been refined, loops back for further refinement when needed, and generates the resulting forecast.

Inputs

Typical inputs include budget data, actuals data, patterns, and open data such as markets, e-reputation, and economic situation; other inputs are not specified.

Outputs / Deliverables

The expected deliverable is a refined or automated forecast based on the available budget, actuals, patterns, and open data; additional outputs are not specified.

Value

Smart Forecasting helps automate forecast refinement across industries by combining internal budget-versus-actuals information with available external context, reducing manual effort and supporting more informed forecasting.