Periodic planning doesn’t use the latest data and relies on manually aggregated, outdated, and incompatible forecasting models; a heavy reliance on standalone spreadsheets is prone to human errors and lacks governance; and minimal use of value-added, predictive analytics.
Goals and Objectives
Enables increased confidence in planning and forecasting, enables planning agility in the face of uncertainty, and rapidly responds to market changes
Budgeting, planning, forecasting, scenario modeling, and predictive analytics software
Use Case Summary
Continuous planning and forecasting provide capabilities for augmenting managers’ contextual experience with managing the business, with ongoing algorithmic forecasting based on real-time internal and external data.