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Forecasting Software Survey
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Product Forecasting Methods Available (continued)
Additional Capabilities
Additional Capabilities: none Spectral / Fourier Analysis State Space Models Other Additional Capabilities Specify Additional Capabilities
Analytic Solver Data Mining       y Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations.
Analytica   y      
Autobox          
Azure ML Package for Forecasting          
DPL     y    
EViews     y    
Forecast Pro       y Numerous other models including Event index models, Forecasting by analogy, trading day adjustments, weighting transformations, etc.
iqast forecast desktop & iqast forecast server   y   y Time Series Clustering
Logility Voyager Solutions y        
Optimal Scientist       y Ability to handle regression equations with or without intercept and with or without constraints; ability to perform all-ways multiple regression; ability to transform experiment results; ability to calculate optimal parameters, t-statistics, F-statistics, estimated Y-values, residuals, standardized residuals, studentized residuals, PRESS residuals, ANOVA statistics, correlation coefficients, Durbin-Watson statistic, Mallow's Cp, correlation matrix, HAT matrix, confidence intervals
OxMetrics Enterprise     y    
RASON Data Mining       y Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations.
RoadMap Global Planning Solution - 360          
SAS Forecast Server   y y y ARIMAX, Unobserved Component Models
Smart Inventory Planning and Optimization       y Inventory optimization, operational analyltics
SOLVENTURE LIFe - Leading indicator forecasting software y        
Stata   y y    
Statgraphics   y      
Stratus          
Vanguard Forecast Server   y   y Addressable market models, Promotion models, Event models, Monte Carlo simulation
XLMiner SDK       y Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations.

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 | Page 14 | Page 15 | Page 16 | Page 17 | Page 18 | Page 19 | Page 20 | Page 21 | Page 22 | Page 23 | Page 24 | Page 25 | Page 26 | Page 27 | Vendor Directory | Accompanying Article