SAS Viya
Business Intelligence Software
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to produc
JMP is a powerful statistical discovery software providing interactive data visualization and deep analytical capabilities to help scientists and engineers explore data, uncover patterns, and solve complex research problems.
Main Demo Video
JMP helps you explore data visually and interactively, moving beyond static graphs to dynamic discovery. Whether you are an engineer optimizing a manufacturing process or a scientist designing clinical trials, you can use its point-and-click interface to uncover hidden trends without writing complex code. You can easily import data from various sources, perform sophisticated regressions, and build predictive models that drive better decision-making across your organization.
The software focuses on the 'discovery' aspect of data science, allowing you to see your data from every angle through linked windows and real-time filtering. It scales from individual researchers to global R&D teams, providing a robust environment for everything from basic descriptive statistics to advanced design of experiments (DOE). By using JMP, you reduce the time spent on data preparation and move faster toward actionable insights.
Main dashboard with project overview
Kanban-style task management
Gantt chart timeline view
Workflow automation builder
Stop staring at static spreadsheets and start interacting with your data. JMP provides a suite of visual tools that let you click, filter, and explore your way to a solution. Here is how you can transform your raw data into discovery:
Click on a data point in one graph to see it instantly highlighted across all other open windows and reports.
Build custom experimental designs that solve real-world problems while minimizing the number of expensive runs you need to perform.
Create and validate predictive models using automated techniques like neural networks, decision trees, and bootstrap forest methods.
Identify outliers, fix entry errors, and recode data quickly so you spend more time analyzing and less time scrubbing.
Monitor your manufacturing processes with control charts and capability analysis to ensure your products meet strict specifications.
Automate repetitive tasks and create custom analytical applications to share standardized workflows with your entire team.
You can explore JMP risk-free with a full-featured 30-day trial to see how it handles your specific datasets. For long-term use, you can choose between individual subscriptions or enterprise-wide licensing. Individual subscriptions start at $1,710 per year, providing you with the full suite of analytical tools and regular software updates.
After reviewing feedback from scientists and engineers who use the platform daily, here is what you can expect from the JMP experience:
Perfect for engineers, scientists, and data researchers who need to perform complex statistical analysis and DOE without extensive coding.
JMP is a top-tier choice if you need to bridge the gap between simple spreadsheets and complex programming languages like R or Python. Its visual-first approach allows you to discover patterns that you might miss in a standard table, making it indispensable for R&D and quality control environments.
While the price point is significant, the time you save on data cleaning and experimental design often pays for itself. Highly recommended for technical professionals in manufacturing, biotech, or engineering who require deep statistical rigor combined with an interactive, user-friendly interface.
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Main dashboard with project overview