Design-Expert vs SAS JMP

Struggling to choose between Design-Expert and SAS JMP? Both products offer unique advantages, making it a tough decision.

Design-Expert is a Science & Engineering solution with tags like design-of-experiments, optimization, statistical-analysis.

It boasts features such as Design of experiments (DOE), Response surface methodology (RSM), Mixture design, Process optimization, Regression analysis, ANOVA and pros including User-friendly graphical interface, Automated design and analysis, Integrated statistical tools, Can handle complex experiments and models, Good for beginners and advanced users.

On the other hand, SAS JMP is a Office & Productivity product tagged with statistics, data-visualization, predictive-modeling.

Its standout features include Interactive data visualization, Statistical analysis, Predictive modeling, Data mining, Scripting language for automation, Add-ins for specialized analyses, and it shines with pros like Powerful analytics and graphics, Intuitive drag-and-drop interface, Integrates well with other SAS products, Wide range of statistical methods, Automation capabilities, Extendable with add-ins.

Feature	Design-Expert	SAS JMP
Overall Score	N/A	N/A
Primary Category	Science & Engineering	Office & Productivity

Product Overview

Design-Expert

Description: Design-Expert is a software for design of experiments, optimization, and statistical analysis. It allows users to design experiments, evaluate effects of factors, optimize responses, and analyze results to understand processes and improve products.

SAS JMP

Description: SAS JMP is a comprehensive statistical analysis and data visualization software used by statisticians, engineers, scientists, quants, and other data analysts. It provides interactive graphics, predictive modeling, and data analysis capabilities for statistical analysis and data mining.

Key Features Comparison

Design-Expert Features

• Design of experiments (DOE)
• Response surface methodology (RSM)
• Mixture design
• Process optimization
• Regression analysis
• ANOVA

SAS JMP Features

• Interactive data visualization
• Statistical analysis
• Predictive modeling
• Data mining
• Scripting language for automation
• Add-ins for specialized analyses

Pros & Cons Analysis

Design-Expert

Pros

• User-friendly graphical interface
• Automated design and analysis
• Integrated statistical tools
• Can handle complex experiments and models
• Good for beginners and advanced users

Cons

• Steep learning curve
• Limited customization options
• Must purchase add-ons for some advanced features
• Only runs on Windows

SAS JMP

Pros

• Powerful analytics and graphics
• Intuitive drag-and-drop interface
• Integrates well with other SAS products
• Wide range of statistical methods
• Automation capabilities
• Extendable with add-ins

Cons

• Expensive licensing
• Steep learning curve
• Less flexible than coding stats from scratch
• Limited big data capabilities compared to R or Python

Pricing Comparison

Design-Expert

• One-time purchase
• Subscription-based

SAS JMP

• Subscription-Based
• Custom Pricing