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Forecasting Software Survey
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Product Techniques Available
Additional Capabilities (e.g., multivariate techniques, etc.)continued
Econometric Models SABL Neural Networks Other (please specify) For those additional capabilities indicated, does the software automatically find the optimal model?
Analytica y     CART n
Autobox y       y
Crystal Ball Predictor          
DPL y     Influence diagrams, Monte Carlo simulation, sensitivity analysis  
Forecast Pro TRAC       Promotional Modeling, Event Modeling, Top-down Reconciliation, Custom Allocation y
Forecast Pro Unlimited       Promotional Modeling, Event Modeling, Top-down Reconciliation, Custom Allocation y
Forecast Pro XE       Promotional Modeling, Event Modeling, Top-down Reconciliation, Custom Allocation y
IBM SPSS Forecasting     y    
iDAta         y
Minitab Statistical Software       Multivariate, quality, ANOVA, DOE, reliability, nonparametrics n
NCSS         n
OMP Plus Forecasting         y
Optimal Scientist       Multi-variate regression; performs D-optimal experiment design  
PEERForecaster Excel Add-in         y
PEERPlanner Forecast Decision Support System          
RoadMap Global Planing Solution       Geneva Expert System y
SAS Forecast Server y     Neural networks available through SAS Enterprise Miner; intermittent demand models; unobserved component models, ARIMAX y
SAS Forecasting for Desktop y     Neural networks available through SAS Enterprise Miner; intermittent demand models; unobserved component models, ARIMAX y
SCA Statistical System y   y GAM, Projection Pursuit, Alternating Condition Expectations, LOESS, RandForest, Adaptive Splines y
Statgraphics Centurion     y Multivariate models y
Statgraphics Stratus          
Vanguard Forecast Server y     Croston's intermittent demand model, Addressable market models, Bass diffusion model, Promotion models, Event models, Monte Carlo simulation y
XLMiner Analysis ToolPak       Logistc regression, ANOVA, F-test, T-test, z-test, correlation/covariance, sampling n
XLMiner Pro and Platform     y Feature selection, k-nearest neighbors, regression trees, ensembles of trees and neural networks y
XLMiner SDK Pro and Platform     y Feature selection, k-nearest neighbors, regression trees, ensembles of trees and neural networks y
XLMiner.com     y Feature selection, k-nearest neighbors, regression trees, ensembles of trees and neural networks y

Forecasting Software Survey Pages:Introduction | Page 1 | Page 2 | Page 3 | Page 4 | Page 5 | Page 6 | Page 7 | Page 8 | Page 9 | Page 10 | Page 11 | Page 12 | Page 13 | Vendor List | Accompanying Article