A complete model repository with a full range of forecasting methods, automated statistical forecast model selection and parameter optimization, hierarchical reconciliation, event modeling, what-if analysis and scenario planning.
Automatic forecasting
Generates statistically sound forecasts for up to 1,000 time series per project without the need for human intervention.
Scalability and modeling
Lets you create multiple projects (by product family, brand, sales, etc.) if there are more than 1,000 time series to forecast.
Unlimited model repository
Provides forecasting methods to address all your forecasting needs.
Easy-to-use GUI
Provides access to the power of SAS forecasting without having to write SAS code.
Event-modeling console
Uses patented technology to statistically model a variety of event types – including pulse, level shift, ramp up/down and temporary events.
What-if analysis and scenario planning
Includes a scenario analyzer for testing what-if scenarios.
Data preparation
Includes time series data management capabilities.
Automatically generate forecasts to help you plan more efficiently and effectively.
Get reliable forecasts – no programming required.
Across multiple products and locations – at all levels of aggregation – the solution builds appropriate models for your data while minimizing the opportunity for errors due to human intervention, bias or lack of expertise.
Plan future events more realistically.
Based on variables you supply in the modeling process, the software automatically selects variables (e.g., business drivers, holidays or events) to generate forecasts that reflect the intricacies of your business.
Empower users of all skill levels.
A convenient, wizard-driven interface gives novice users access to state-of-the-art forecasting methods without programming or knowledge of time series models. At the same time, the solution has all the power and sophistication that more experienced analysts need.
Make faster, better decisions with manageable forecasting processes.
An easy-to-manage forecasting process enables analysts to focus on the most important forecasts and on other value-added analysis and reporting tasks.
Assess forecast uncertainty and risk.
Instead of a point forecast, the solution provides a statistical and visual range of likely outcomes, enabling you to assess forecast uncertainty and risk and make decisions accordingly.
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