With a cloud platform, you can anticipate performance gaps between forecasts, targets, and actuals. You can analyze root causes by slicing and dicing multidimensional data to spot trends, assess the impact of alternative courses of action, and enable effective decision-making.
With flexible, business self-service modeling and real-time calculations across deep hierarchies and multiple dimensions, the cloud platform makes forecasting a dynamic, reliable performance management process.
Enable driver-based rolling forecasts to improve reliability and accountability
Create timely, reliable baseline forecasts by applying statistical algorithms to both historical data and external datasets
Perform "what-if" analysis on the fly
Set forecast totals and have your model automatically spread values across a range of periods and line items
Model and synchronize across different forecast frequencies, levels of detail, and time horizons
Easily connect operational causes with financial effects by linking operational and financial forecast models
Weeks To Go-Live