Jmp 17 Pro Better Jun 2026

For organizations looking to transition from reactive data reporting to proactive predictive modeling, provides the exact toolkit needed to uncover hidden insights, streamline workflows, and drive innovation.

: The standalone XGBoost add-in now includes an Autotune option using Fast Flexible Filling designs, saving hours of manual trial and error.

Reports, control charts, and dashboards can be saved as interactive HTML files. These files retain JMP's signature dynamic linking and brushing capabilities, allowing stakeholders without a JMP license to explore the data using standard web browsers on desktop or mobile devices. jmp 17 pro

Engineers use JMP 17 Pro to perform root-cause analysis on yield detriments. By utilizing the Functional Data Explorer, they can analyze sensor data across an entire manufacturing run to pinpoint exactly when a process deviated from standard tolerances. Pharmaceuticals and Biotechnology

Graph Builder remains the most versatile tool in the suite. JMP 17 introduces new graph elements and smoother interactions. Specifically, the handling of geographic data (background maps) has been improved, allowing for smoother panning and zooming in spatial analyses. For organizations looking to transition from reactive data

One of the most celebrated new additions in JMP 17 is the . This feature allows users to record, save, and share a complete analysis sequence as a reusable macro. You can replay all steps at once to refresh your analysis with new data, add individual steps to an existing workflow, share the entire workflow package with colleagues, and export it as a script. The Workflow Builder transforms manual, error-prone, multi-step tasks into a transparent, auditable, and single-click process, ensuring reproducibility and freeing up valuable time for deeper investigation.

Using Generalized Regression (a feature of PRO) to identify key factors affecting a result. These files retain JMP's signature dynamic linking and

A critical enhancement is the handling of in process capability analysis. Previously, ignoring these limits could lead to misleading results. Now, the Distribution platform in JMP 17 Pro recognizes the "Detection Limits" column property, allowing the fitter to adjust for censored data. This means that process capability reports, generated from fitted distributions like Normal, Log Normal, or Weibull, will provide significantly more accurate results when data is impacted by detection thresholds.

In modern manufacturing and research, data often arrives as continuous curves, profiles, or time-series streams rather than single data points. The Functional Data Explorer (FDE) converts these continuous responses into functional principal components. These components can then be directly integrated into traditional DOE or predictive modeling workflows, transforming how sensor logs and batch processes are analyzed. Data Preparation and Workflow Automation