JMP
Statistical discovery software from SAS.
Overview
JMP is a suite of computer programs for statistical analysis developed by the JMP business unit of SAS Institute. It is known for its focus on exploratory data analysis and visualization. Users can explore and understand data through interactive graphs and charts, which are dynamically linked to the underlying data and statistics.
✨ Key Features
- Interactive data visualization and exploration
- Design of Experiments (DOE)
- Predictive modeling and machine learning
- Quality and process control
- Scripting language (JSL)
🎯 Key Differentiators
- Highly interactive and visual approach to data analysis
- Strong capabilities in Design of Experiments (DOE)
- Deep integration with the SAS ecosystem
Unique Value: Empowers users to understand the story in their data through dynamic visualization, making complex statistical concepts accessible and actionable.
🎯 Use Cases (4)
✅ Best For
- Using Design of Experiments to optimize manufacturing processes.
- Visually exploring clinical trial safety data to identify trends.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users who need to write complex, non-standard statistical programs
- Organizations requiring formal FDA validation for statistical reporting (SAS is preferred)
🏆 Alternatives
While other tools can produce static graphs, JMP's strength lies in its linked and interactive visualizations, which allow for deeper, more intuitive data exploration.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
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