Statistical Software Survey
Table 1



Product Vendor Year First Version was Released Software Description Targeted Market
AcaStat AcaStat Software 1999 Easy to use statistical software with statistics glossary, summary statistics and decision making modules.and tutor. Students, instructors, and managers looking for an inexpensive alternative
Autobox 6.0 Automatic Forecasting Systems, Inc. 1976 Automatic modeling. Adapts to level shifts, pulses, seasonal pulses, trends, lead/lags of causals (price, holidays). Forecasting, Data Cleansing, Promotion Response, Early Warning Systems
CBC (Choice-Based Conjoint) Sawtooth Software 1993 Choice-Based Conjoint (CBC) design, data collection, and analysis. Market Research, Econometrics
CBC/HB Sawtooth Software 1998 Hierarchical Bayesian estimation for discrete choice experiments using multinomial logit Market research, econometrics
CCEA (Convergent Cluster and Ensemble Analysis) Sawtooth Software 1988 Ensemble analysis and k-means cluster analysis Market research, social sciences
CiW Sawtooth Software 1999 Questionnaire-writing (survey) software for opinion and market research. Market research, social survey research
ExpertFit Averill M. Law & Associates 1983 Automatically fits probability distributions to data; 40 distributions; 30 graphical plots; batch mode; distribution viewer defense, manufacturing, transportation, healthcare, services, communications networks
IBM SPSS Statistics IBM 1968 SPSS Statistics is an integrated suite offering a rich set of analytic capabilities for every stage of the analytic process. IBM SPSS Statistics is tool used in a wide variety of markets.
iData MJC2 1995 Forecasting and demand planning All industry sectors
JMP 9 SAS 1989 From simple statistics to DOE, mixed models and more, JMP interactively links data visualization and deep analytics. Analytic App Development, DOE, Business Visualization, EDA, Modeling, Quality, Reliability, Six Sigma
JMP Pro, Version 9 SAS 1989 JMP Pro builds on JMP and adds advanced predictive modeling and data mining methods. Finance, Marketing, Insurance, Manufacturing,
Minitab 16 Statistical Software Minitab 1972 Minitab is the leading provider of software for Lean Six Sigma, quality improvement, and statistics education worldwide. Quality, Lean Six Sigma, Engineering, Reliability, DOE
Optimal Scientist Software Package Transpower Corporation 1993 Design and Analysis of Optimal Experiments and General Purpose Graph Program scientists, engineers, academics
Oracle Crystal Ball Suite Oracle Americas Inc. 1988 Oracle Crystal Ball is an MS Excel-based application suite for predictive modeling, forecasting, simulation, and optimization Risk analysts, time-series forecasters, optimization specialists and students
P-STAT P-STAT, Inc. 1964
QMS (Quantitative Methods Software) QuantMethods 1988 Pedigogical tool for teaching quantitative methods. Primarily higher education
SAS SAS 1976
Smoothie Demand Works 2003 Business forecasting and demand planning solution featuring Pivot Forecasting and Pivot Planning Manufacturers and distributors spanning most industries. Used by many of the worlds best and largest companies.
Stat::Fit Geer Mountain Software Corporation 1995 Statistically fits to your data the most useful analytical distribution and exports into specific forms for simulation. Simulation and modeling, risk assessment, reliability, quality, engineering and financial management.
Unistat Statistical Package Unistat Ltd 1984 A comprehensive stand-alone statistical package that can also work as Excel add-in. Anyone who has data to analyse and needs to plot a wide range of graphics.
Vanguard Business Analytis Suite Vanguard Software 1995 Designed for professional modelers, merges Data Analysis, Decision Analysis, Forecasting, Simulation, and Optimization. Any indsutry, Any department
Vanguard Forecast Server Vanguard Software 2010 Prepares high-quality forecasts based on data trends, patterns, seasonalities, events, promotions, and management insights Demand planning, financial planning, sales/marketing

Statistical Software Survey Pages:
Introduction | Page 1 | Page 2 | Page 3 | Page 4 | Page 5 | Page 6| Page 7 | Page 8 | Page 9 | Vendor List | Accompanying article



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