Version 11.1.2 of leading predictive modelling suite, Crystal Ball has been released recently with a number of enhancements.
Crystal Ball is used for transforming Excel spreadsheets into risk models, allowing users to perform Monte Carlo simulation, forecasting as well as optimisation.
Version 11.1.2 of the predictive modelling software includes enhancements such as the ability to define assumptions from forecasts, support for new Windows version and an updated Scenario Analysis tool.
Define Assumptions from Forecasts
Crystal Ball automatically fits an assumption to the forecast data and selects the best fit, or a custom distribution assumption can be created using the raw data. This feature enables the user to quickly use forecasts from Crystal Ball simulations as inputs to a model.
Support for New Windows Version
Crystal Ball is now supported on Microsoft Windows 7.
Updated Scenario Analysis Tool
Scenario Analysis is a powerful analysis tool that runs a simulation and then sorts and matches all the resulting values of a target forecast with their corresponding assumption values, enabling the user to investigate which combination of assumption values gives a particular result. The Scenario Analysis tool has been updated with a new wizard interface.
Predictor Integration with Planning and Essbase
The powerful time-series forecasting capabilities of Predictor on historical data from Oracle Hyperion Planning, Fusion Edition and Oracle Essbase are now available to the user.
Predictor works within Crystal Ball EPM and Oracle Hyperion Smart View for Office, Fusion Edition to create forecasts and paste them directly into a Planning form or ad hoc queries in Planning or Essbase. Forecasts are then submitted back to the Planning or Essbase server to help create more accurate budgets and rolling forecasts.
Hearne Scientific Software offers the Crystal Ball predictive modelling suite as well as software training customised to specific needs.