Discovery Summit Americas 2022

11:30 - 12:30 pm ET

Getting Started with JMP

There’s so much that JMP can do, but you’ve got to start somewhere! This interactive session is for data explorers who are new to JMP software and experienced users who want a quick refresher.

12:35 - 12:55 pm ET

Plenary Session

Charting New Territories with JMP: Discover, Analyze, and Visualize

Julian Parris, Director, Research and Development, JMP

Step into data exploration with Julian Parris, Director of R&D, as he explores the capabilities of JMP at the opening plenary of this year's JMP Discovery Conference Online. In this session, Julian will reveal some of his favorite features of JMP, talking us through the best ways to leverage JMP for data preparation, analysis, and visualization. As he provides a live demonstration, you'll witness firsthand how these features work seamlessly together to turn raw data into actionable insights, and how you can learn to use the tools in JMP to their full potential.

No matter where you are on your JMP journey, this opening plenary promises to be a stimulating voyage of discovery. Come, be a part of this expedition, dive into the depths of JMP, and get a taste of what this versatile software has in store for you.

1:00 - 1:40 pm ET

Meet the Experts

There are a lot of experts at Discovery Summit, but we’re specifically talking about JMP’s R&D staff here. Ask them anything about the platforms they support, the functionality they create, the features they’re working on. You can request new features and different functionality. And you can listen in as others ask even harder questions and make their requests.

Topics include:

Data Access
Data Preparation, Visualization and Exploration
Statistics and Modeling
DOE and Reliability
Quality and Process Engineering
JMP Clinical and Genetics
Scripting and Automation
JMP Live
Technical Support, User Enablement and JMP Education
+5 overflow

1:45 - 2:30 pm ET

Paper Presentations

Session ID: 2023-US-30MP-1464

Converting Binary Responses to Continuous in Product Development Using DOE

Curtis Park, Principal Scientist, HP Hood

Topic: Design of Experiments
Level: II

At HP Hood, the use of design of experiments (DOE) has helped to successfully identify formulations in new product development, delighting consumers of our food products.

Throughout our R&D department's wide implementation of DOE, there have been a number of successful DOE models, as well as some unsuccessful ones. One major stumbling block to model building with DOE has been dealing with subjective binary responses such as acceptable/unacceptable. These binary responses provide less information than continuous responses, thus inhibiting the ability to extract meaningful results from designed experiments.

This presentation shares simple and practical strategies for using the JMP DOE platform to convert these binary responses to continuous ones, resulting in improved models and powerful insights. Real-world examples from consumer food products are given to demonstrate how DOE can be used for more than just building models. It can be used to overcome the problem of responses that are difficult to measure.
Session ID: 2023-US-30MP-1491

If I Only Had Time to Work with Timestamp Data…I Would Learn So Much About My Process!

Wendy Tseng, Sr Systems Engineer, JMP

Topic: Data Exploration and Visualization
Level: I

Working with timestamp data (dates, times, or datetimes) can be like wrestling a pig. It can be struggle for many reasons, including knowing the appropriate modeling type to use, how to process data with non-standard datetime formats, and how to easily perform datetime calculations.

With sensors becoming more prevalent in measurement systems and manufacturing equipment, learning how to work with datetime data is becoming increasingly more important if you want to use this data to understand relationships between process variables and critical quality endpoints.

You do not have to get dirty or give up using this data altogether if you learn the ABCs of how this type of data is stored in JMP and how to process it. JMP makes working with timestamp data easier. In this presentation, I focus on the tools that I have seen customers benefit from the most when they are working with datetime data.
Session ID: 2023-US-30MP-1386

Pictures from the Gallery 8: Innovative Graph Builder Views

Scott Wise, Sr. Systems Engineer, JMP

Topic: Data Exploration and Visualization
Level: I

A picture is said to be worth a thousand words, and the visuals that can be created in JMP Graph Builder can be considered fine works of art in their ability to convey compelling information to the viewer. This journal presentation features how to build popular and captivating graph views using JMP Graph Builder. Based on the popular Pictures from the Gallery journals, the Gallery 8 presentation highlights new views and tricks available in the latest versions of JMP. We feature several popular industry graph formats that you may not have known could be easily built within JMP. Views such as integrated tabular graphs, satellite mapping, formula-based graphs and more are also included, helping you breathe new life into your graphs and reports!

2:45 - 3:00 pm ET

Daily Wrap

11:30 - 12:30 pm ET

Getting Started with JMP

There’s so much that JMP can do, but you’ve got to start somewhere! This interactive session is for data explorers who are new to JMP software and experienced users who want a quick refresher.

12:35 - 12:55 pm ET

Plenary Session

Learning to Think Like JMP

Ruth Hummel, Sr. Manager, Analytical Education, JMP

Join Ruth Hummel, Senior Manager of JMP Education, to examine the mind of JMP and to learn how to make the paradigm shift needed to think like a data explorer. Like Copernicus shifting from an earth-centered to a sun-centered understanding of the universe, when you start using JMP, you no longer see a problem-focused mess of a spreadsheet, filled with summary statistics and partial analyses side by side with raw data. Rather, you see a data table that is the center of the analysis universe. The columns become the cast of characters that you can assign to roles in various data stories, all connected back, dynamically, to that data table. New columns are created through formulas, depending on the old columns, often with a simple right-click and with JSL programming language that writes itself. JMP offers a connected, dynamic, progressive analysis experience, with richness and depth at your fingertips. It just takes a little paradigm shift to unlock the magic of JMP.

1:00 - 1:40 pm ET

Meet the Experts

There are a lot of experts at Discovery Summit, but we’re specifically talking about JMP’s R&D staff here. Ask them anything about the platforms they support, the functionality they create, the features they’re working on. You can request new features and different functionality. And you can listen in as others ask even harder questions and make their requests.

Topics include:

Data Access
Data Preparation, Visualization and Exploration
Statistics and Modeling
DOE and Reliability
Quality and Process Engineering
JMP Clinical and Genetics
Scripting and Automation
JMP Live
Technical Support, User Enablement and JMP Education
+5 overflow

1:45 - 2:30 pm ET

Paper Presentations

Session ID: 2023-US-30MP-1432

Design of Experiment’s Crucial Step 0: Choosing the Right DOE Option

Christine Anderson-Cook, Statistician, Los Alamos

Topic: Design of Experiments
Level: I

JMP has a wealth of design of experiments (DOE) options from which to choose. While this array is incredibly powerful, it also has the potential to be a bit intimidating to those who are new to this area. What category of design should I choose from the many possibilities? How do I know what the best one is for my experimental objectives? This talk provides some ideas for how to strategically tackle Step 0 of the process of constructing the right design by considering the following questions:

What are the goals of the experiment?
What do we already know about the factors, responses, and their relationship?
What are the constraints under which we need to operate?

Once these questions are answered, we can match our priorities with one of the many excellent choices available in the JMP DOE platform.
Session ID: 2023-US-30MP-1376

Graph Builder and Tabulate Applications in Clinical Trials

Rebecca Lyzinski, Senior Software Developer, JMP
Sam Gardner, Senior Product Manager for Health and Life Sciences, JMP

Topic: Data Exploration and Visualization
Level: I

Flexible visualizations allow for easy exploration of clinical trial data. JMP Clinical uses many different options in Graph Builder and Tabulate to allow for dynamic views and publication-ready output. From stacked bar charts to display adverse events by severity to line graphs to show change from baseline over time to swimmer plots graphing disease response in oncology studies, JMP Clinical uses many different Graph Builder elements. Paired with most graphs is Tabulate, which displays the statistics reflected in the graph. New Tabulate features in JMP 17 such as stack, pack, and unique ID, help make these tables ready for publication. This pairing of Graph Builder and Tabulate gives users a quick way to visualize the data through a graph and then dig further into the numbers.
Session ID: 2023-US-30MP-1488

Streamlining Statistical Analysis with Custom JSL Scripts

Prince Shiva Chaudhary, Data Scientist, Intel
Logan Mathesen, Data Scientist, Intel

Topic: Quality and Process Engineering
Level: II

At Intel, the use of JMP and JSL has become integral to the organization’s data-driven decision-making infrastructure. To improve data exploration, visualization, process engineering, and quality control capabilities (and to standardize statistical analysis) our team created the "Stats” package. The Stats package comprises multiple customized JSL scripts that support statistical standards, and the output generated from these scripts provides standardized, agreed-upon reports. Since its creation, the Stats package has been used globally by thousands of individuals across our engineering organizations, saving countless hours in standard data analysis and reporting.

In this presentation, the Stats package development team shares a small portion of the package, specifically relating to scripts that leverage native JMP quality and process engineering platforms to create fully integrated offline reports. The presentation showcases the design process of JSL scripts, starting with the desired statistical standard and continuing through the development of user-friendly script execution windows. We illustrate the extensive data blending, statistical analysis, and data visualizations that constitute the final output reports.

The team shares insights into the benefits of using custom JSL scripts for streamlining statistical analysis, as well as the challenges and best practices in developing these scripts. The presentation also demonstrates the effectiveness of the Stats package in improving the efficiency and accuracy of statistical analysis across our engineering teams.

2:45 - 3:00 pm ET

Online Agenda

Getting Started with JMP

There’s so much that JMP can do, but you’ve got to start somewhere! This interactive session is for data explorers who are new to JMP software and experienced users who want a quick refresher.

Plenary Session

Charting New Territories with JMP: Discover, Analyze, and Visualize

Meet the Experts

Paper Presentations

Converting Binary Responses to Continuous in Product Development Using DOE

Curtis Park, Principal Scientist, HP Hood

If I Only Had Time to Work with Timestamp Data…I Would Learn So Much About My Process!

Wendy Tseng, Sr Systems Engineer, JMP

Pictures from the Gallery 8: Innovative Graph Builder Views

Scott Wise, Sr. Systems Engineer, JMP

Daily Wrap

Getting Started with JMP

There’s so much that JMP can do, but you’ve got to start somewhere! This interactive session is for data explorers who are new to JMP software and experienced users who want a quick refresher.

Plenary Session

Learning to Think Like JMP

Meet the Experts

Paper Presentations

Design of Experiment’s Crucial Step 0: Choosing the Right DOE Option

Christine Anderson-Cook, Statistician, Los Alamos

Graph Builder and Tabulate Applications in Clinical Trials

Streamlining Statistical Analysis with Custom JSL Scripts

Close