SAS Announces Latest Versions of JMP Statistical Products

CARY, N.C., Oct. 18, 2022 — While a dairy scientist, a process engineer and a tech innovator have varying domain knowledge, they all rely on the JMP family of statistical discovery products to meet modern data challenges. JMP 17, JMP Pro 17 and JMP Live 17 were launched today after first being introduced at the Discovery Summit Americas analytics conference. The products enable scientists and engineers with intuitive and collaborative analytic workflows, whether they are in business to process raw materials into cheese, ensure drug manufacturing meets regulatory standards or develop sensors for autonomous vehicles.

Engineers and scientists at Thermo Fisher Scientific advocated for the widespread adoption of JMP to consolidate and automate data workflows, accelerating process transfer, validation and continuous verification of the process during the commercialization phase. Credit: Thermo Fisher Scientific.

With new digital manufacturing systems at leading electronic component manufacturer Murata generating far more data than existing systems could manage, the company made JMP its end-to-end workflow tool for operators, technical experts, data scientists and management alike. This released domain experts from tedious data preparation tasks to focus on solving engineering problems that generate real business value. “We literally went from collecting data over weekends to collecting data within an hour or so, and that has since been further refined down to a few minutes,” said Data Integration Manager Philip O’Leary. “Moreover, we do it hundreds of times every day.”

At Thermo Fisher Scientific, a Fortune 500 leader in scientific instrumentation and services, “JMP was the only software that offered us a range of tools allowing access to data analysis for non-statisticians,” said Véronique Brianto, Validation Deputy and Continued Process Verification Deputy. “It provides us with a collaborative interface and enables the sharing of information in the form of both raw data and data visualizations between users and non-users of the software.”

Consumer products organization Dairygold sees JMP as a process-enabling tool, not just software, explained Science and Analytics Manager Kieran O’Mahony. “The amount of information that you can extract from JMP in such a short time – and in particular, the multivariate element of it – is amazing. That’s gold from a new user’s perspective,” said O’Mahony.

JMP Live, a collaborative analytics platform for secure, enterprisewide knowledge sharing, offers a new set of capabilities for server-side data refresh and scheduling, better organization of content and a streamlined publishing workflow.

Biotechnology company Regeneron adopted JMP Live to break down information siloes among worldwide operations. JMP Live “created a single source of truth and point of reference for everyone to access the most current analysis,” said Diana Nadler, Manager of Continuous Improvement Statistics Team.

By giving groups across the organization access to the data and automating routine analyses in JMP Live, Regeneron puts “scientists and engineers back on the floor, letting them do their jobs … so they can spend time consuming the analytics instead of publishing them.”

“Workflow should be fluid, not interrupted by obstacles or detours,” said John Sall, co-founder and Executive Vice President of SAS and founder and Chair of JMP, in his keynote talk “Workflow” at Discovery Summit Americas last month. “You want to be working on your subject matter, not taking care of side problems. JMP 17 will make your workflow better, so you can pay more attention to what the data is saying and explore data and models in more ways.”

JMP 17 and JMP Pro 17 highlights

• Workflow Builder to record an interactive session to a graphical workflow script for automation, teaching, repeatable data preparation or reproducible analysis.
• OSI PI Import to access rich asset data stored on an OSIsoft PI server without coding or interacting with APIs and use those data to visualize, enrich and improve models.
• Easy DOE for a step-by-step guide through the DOE workflow from designing the experiment to analyzing, predicting and reporting findings.
• Search JMP for quick answers about capabilities, data cleanup operations, statistical tests and visualizations.
• Optimized handling of large, wide tables and analysis (Multivariate, Response Screening and data table transformations).
• Spectral Analysis in Functional Data Explorer for preprocessing, modeling and multivariate analysis of spectral data common in analytical chemistry and material science. (JMP Pro)
• Direct import of commonly used genetic and genomic data formats; new platform for Genetic Marker analysis and new model-based Genetic Breeding Simulations. (JMP Pro)

JMP Live highlights

• Connect directly to data sources and schedule updates without a third-party scheduling tool.
• Hierarchical, nested spaces for better organization of reports, including improved access controls.
• Publish with the improved workflow to easily share discoveries across the organization.
• View data tables without downloading, then view data on mobile devices.
• Single-click open in JMP to create a JMP Project for easy follow-up analysis.
• More interactive features to explore reports, including Categorial Response Profilers, Packed Bar Charts and Parallel Plots.

JMP Clinical 17 highlights

The data analysis software for ensuring trial safety and efficacy has been completely rewritten for speed and simplicity and will be available in November 2022:

• Set up clinical review reports quickly with data and analysis solely in JMP.
• Access improved reports to assess study health, monitor clinical sites and explore subject level profiles.
• Develop standardized reports that are ready for reporting and regulatory submissions, including DSUR/PSUR reporting and Custom Medical Queries.
• Publish clinical reports to JMP Live 17 to enable broader sharing and review of results.
• Explore and build predictive models for clinical trial data with the integration of JMP Pro.

About JMP

JMP (pronounced “jump”) empowers scientists, engineers and other data analysts to explore and analyze data visually and interactively. Since 1989, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. JMP is a wholly owned subsidiary of SAS led by John Sall, SAS co-founder and Executive Vice President.

About SAS

SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW.

Source: SAS