• Deep Dive into Python, R Integration in JMP 19: Techniques and Interfaces (2026-US-30MP-2928) This presentation walks through the techniques and Python code found in the jmpex package's code, which is the code used to bridge between JSL and R using Python. It gives in-depth coverage of parameters passing between the three environments: JSL, R, Python. It also showcases the power of the JMP and Python integration, its design, techniques and hidden corners. Attendees are empowered to use...
    Skill level: intermediate
    photo of Paul Nelson Paul Nelson JMP
  • IDEXX QueryLab Dx: From Natural Language to JMP Live (2026-US-30MP-2910) IDEXX QueryLab Dx introduces a new approach to expanding access to analytics by transforming natural-language questions into fully deployable analytical workflows within JMP. Rather than limiting AI to query assistance, this system extends the pipeline from intent to execution – generating governed SQL from structured data artifacts and automatically producing JMP Scripting Language (JSL) wrap...
    Skill level: intermediate
    photo of Chris Pillsbury Chris Pillsbury IDEXX Laboratories
  • Time Flies: Querying and Exploring Large Time-Dependent Data Sets (2026-US-30MP-2969) Defectivity reduction efforts drive large-scale investigations of historical process data in photoresist manufacturing. For production engineers at Inpria, this data is stored as time series data on an SQL database. Data is recorded from equipment sensors every two seconds. As a result, large-scale investigations of new data metrics are time-consuming and present serious data integrity challenges. ...
    Skill level: beginner
    photo of Jack Phelps Jack Phelps Inpria Corporation
  • From JMP to JMP Live: Deploying Automated Analytics Workflows (2026-US-30MP-2954) Many JMP users use workflow automation to repeat analyses, often without writing code. These automated workflows save time, improve consistency, and help standardize data analysis processes across teams. Tools such as Query Builder and Workflow Builder make it easy to automate key steps in the analytics life cycle – particularly data acquisition and data preparation.JMP Live extends these capa...
    Skill level: intermediate
    photo of Monique Roerdink Lander Monique Roerdink Lander and others
  • Unlocking SharePoint Connectivity in JMP Using Data Connectors (2026-US-30MP-2934) In this talk, I explain the process of downloading, installing, configuring, and using the SharePoint and OneDrive Data Connectors add-in in JMP. I demonstrate the add-in's effectiveness at connecting to SharePoint and unlocking the power of Query Builder for data sources stored on SharePoint. I also provide useful information for users who may have issues with configuring their connections. &...
    Skill level: intermediate
    photo of Will Morgan Will Morgan JMP
  • Please, Horse, Drink: A Desperate Bid to Make Engineers Use Their Data (2026-US-30MP-2961) "We're not sure when the problem started exactly..." "Well, have you looked at the data?" Frustrated by having to ask that question for the umpteenth time, even if only to a fraction of the team, the author set out to remove as many sources of friction as possible to accessing "the data" and exploring it in JMP. The solution: a set of JSL-powered GUIs that removed barriers, such as querying datab...
    Skill level: intermediate
    photo of Spencer Saunders Spencer Saunders Tesla Inc.
  • From Data Historian to Insight: Scalable Time-Series Workflows in JMP (2026-US-30MP-2952) Industrial time-series data is growing rapidly in both volume and complexity, driven by widespread use of systems such as the PI System and AspenTech IP.21. JMP’s Data Historian integration enables analysts to connect directly to these systems, bringing high-frequency, multistream data into JMP for interactive exploration and analysis.This presentation demonstrates practical workflows for selecting...
    Skill level: beginner
    photo of Michael Hecht Michael Hecht JMP
  • Build a Python-based JMP Data Connector in Minutes (2026-EU-30MP-2638) The Python interface to Query Builder provides a convenient mechanism to build your own custom data connector and still use the querying capabilities within the JMP interface. But, is it so easy to use that you can build a complete connector in a single Discovery talk? See for yourself in this fast-paced session that should give you enough information to return to work to build your own data c...
    photo of Brian Corcoran Brian Corcoran
  • Collaborate Smarter: Streamline Your Workflow with Editable Tables in JMP Live (2026-EU-30MP-2789) Keeping your JMP analyses connected and current can be challenging, especially when updates rely on spreadsheets, emails, or handwritten notes. This presentation explores the new capabilities that make it easier to manage shared data with JMP and JMP Live.Coming soon in JMP Live 19.5, data tables can be edited directly in the browser, removing the need to collect updates offline. This feature allow...
    Skill level: beginner
    photo of Justin Chilton Justin Chilton JMP
  • A New Exploratory Data Analysis Approach in Cardiovascular Research (2026-EU-PO-2770) Working in a research department involves extensive lab time, conducting different types of experiments and generating plenty of data, e.g., from imaging or flow cytometry. However, data analysis is often time-consuming and unpopular among laboratory technicians. Thus, efficient tools that streamline the path from raw data to meaningful results are required. While programs like Excel or GraphPad P...
    Skill level: beginner
    photo of Ines Gigler Ines Gigler
  • JMPでOpenDataを利用してブラタモリ体験してみませんか？ (2025-JA-PO-2606) 近年自治体や政府機関などから公開されるようになってきた空間的オープンデータを利用し、JMPの３D散布図や空間情報データの表現能力による力強いグラフィック機能を利用し、空間データをどのように利用できるかのお話をしたいと思います。特に総務省統計局が公開している国勢調査などのデータや、国土地理院が公開を始めた1m標高データを利用して、地域の微地形についてのマップ化の方法、3次元マップとして表現する方法、その際の手順などを実演を交えながら、ご紹介したいと思います。
    Skill level: beginner
    photo of 川向 肇 川向 肇 兵庫県立大学
  • 地域おこし協力隊導入自治体についての統計分析 (2025-JA-PO-2692) 様々なオープンデータを利用し、日本全国の地域おこし協力隊を導入している自治体と、そうでない自治体についての特徴の分析を行った結果を報告します。複数のオープンデータソースを利用することになったため、JMPのデータテーブルの処理システムの有効性についても報告します。
    Skill level: beginner
    photo of 山根 美咲 山根 美咲 and others
  • 開会のご挨拶／基調講演：イノベーションの拡大：エンジニアリング・ワークフローへのデータサイエンス統合 10:00～10:15：開会のご挨拶10:15～11:15：基調講演今日のエンジニアリングにおける課題は、もはや局所的な解決策だけでは不十分です。データサイエンスの手法をデータ分析のワークフローに組み込むための、拡張性が高く柔軟なツールが求められています。JMPの製品群は、統計解析、プロセス最適化、データ視覚化のための強力なプラットフォームを提供し、エンジニアが日々の問題解決を超えて活躍できる環境を創造します。このセッションでは、複雑で大規模な問題への取り組みに焦点を当て、JMPがどのようにエンジニアリング・データサイエンスを支援するかを深掘りします。あわせて、データアクセス、プロセススクリーニング、環境モニタリング、グループ別分析、モデル・応答スクリーニング、そしてJMP Liveとの統合といったツールに焦点を当て、JMPが多様なニーズにどのように対応するかを解説します。具体的な事例やデモ...
    Skill level: beginner
    photo of Jules Parris Jules Parris and others
  • Evaluating the Impact of Torpedo Bats in Major League Baseball Using JMP (2025-US-PO-2409) Torpedo bats, which diverge from the traditional tapering bat shape, have drawn widespread attention following a surge in power production from players adopting them. While the spike in home runs has sparked public interest, this project investigates whether the unique bat design corresponds with measurable changes in player performance. Using MLB Statcast data accessed via PyBaseball and Baseball ...
    photo of Ryan Cooper Ryan Cooper and others
  • Ready to Retire? Multigenerational Financial Insights with JMP (2025-US-30MP-2431) In this presentation, we showcase the power of JMP to address a real-life question: Are we ready to retire based on our current financial situation and prospects? Using JMP's interactive platforms, we conduct multivariate analysis, graphic building, and text analytics to understand retirement trends across generations.Gen X faces unique retirement challenges, including potential savings shortfalls ...
    photo of Giselle Beeker Giselle Beeker and others
  • Connections Make the Difference: Connecting JMP to Aspen IP.21 Historians (2025-US-30MP-2291) Connecting to a data source is the first step in any analysis. But what if you don't know how to make the connection (and no one else does either)? This paper describes how we've used JMP to change our development chemists' and engineers' viewpoint of our process from the theoretical (i.e., "The process is supposed to work this way") to the practical (i.e., "Let us pull some data and see ...
    photo of Tom Bidwell Tom Bidwell ALTA Performance Materials
  • Empowering R&D: AWS, Snowflake, and JMP for Scalable Data-Driven Insights (2025-US-30MP-2307) Unlocking innovation in R&D requires more than just data. It demands seamless accessibility, real-time insights, and effortless collaboration. This presentation explores how AWS, Snowflake, and JMP empower product development by enabling scalable data ingestion, dynamic analytics, and cross-functional synergy. With cloud-based storage, high-performance processing, and advanced data modeling, de...
    photo of Chris Pillsbury Chris Pillsbury
  • Everyday Efficiency: Making Data Smarter. Making Smarter Data. Efficiency with data isn’t about cutting corners, it’s about cutting friction. In this session, John Sall and other JMP developers explain how new capabilities in JMP streamline the full journey of data analysis: accessing the right data, organizing it for clarity, and generating new insights through purposeful exploration and experimentation. Expanded data access makes it faster and easier to brin...
    Plenary
    photo of John Sall John Sall and others
  • The Secret is Out! Oh Wait, No It’s Not. (2025-US-30MP-2510) As industries become increasingly cloud-dependent, the traditional model of local data access is rapidly giving way to remote storage and services. With that shift comes a new challenge: securely accessing cloud-based data and services through code. Credential management – especially when balancing automation with security – is anything but straightforward. While JMP continues to lead i...
    photo of Nathan Clark Nathan Clark and others
  • Extending Data Connectors with Python: Query Builder Integration and More (2025-EU-30MP-2195) JMP 19 will expand on the Data Connector feature introduced in JMP 18 to allow uniform access to more data sources. Besides adding more built-in connection types, JMP 19 will also allow users to define their own connection types by means of an exposed Python API. Like the built-in types, these types will share in the benefits of the Data Connector feature, including its configuration management and...
    photo of Neal Siekierski Neal Siekierski
  • Syensqo Industrial Analytics Academy (2025-EU-PO-2243) The objectives of the Industrial Analytics Academy (IAA) at Syensqo are to reinforce the culture of data-driven decisions, to upskill Syensqo workforce so that we keep pace with our digital transformation, and to democratize the use of advanced analytics. To do that we have set up a frame for self-service analytics with a clear learning path, skill set, and certification us...
    photo of Carlos Perez Galvan Carlos Perez Galvan
  • JMP Integration with AWS (2025-EU-PO-2245) We are pleased to present how JMP plays a major part in our data environment at Soitec. With more than 600 users at our company, it is always a challenge to enhance the user experience and industrialize our products deployed on JMP.  Today, JMP allows many data sources to be targeted but collecting data from AWS services can still be overly complex.  Starting with JMP 15 and tha...
    Skill level: advanced
    photo of Guillaume Bugnon Guillaume Bugnon and others
  • Scaling Innovation: Integrating Data Science into Engineering Workflows Today’s engineering challenges demand more than localized solutions – they require scalable, flexible tools that integrate data science techniques into the fabric of data and analytic workflows. The JMP family of products enables engineers to move beyond routine problem solving by providing powerful platforms for statistical analysis, process optimization, and data visualization. This plenary sessi...
    Plenary
    photo of John Sall John Sall and others
  • 「STIPS」を教材にした統計初心者対象の統計ワークショップの取組み 熊本市に本社を置くKMバイオロジクス株式会社は、「ヒト用ワクチン」「動物用ワクチン」「血漿分画製剤」を扱うバイオ企業です。弊社では、JMPのeラーニングプログラム『製造業における問題解決のための統計的思考（STIPS）』を用いて、統計初心者向けに統計ワークショップを開催しています。STIPSは英語のナレーションで作成されており、日本語字幕はあるものの、英語が苦手な社員にはハードルが高いです。そこで、STIPSの動画を日本語セリフ付きパワーポイントに改変し、さらに動画化しました。この改変された教材を使って、約25名の社員がワークショップに参加し、統計の基礎を理解し、業務に活用できるスキルを身につけています。具体的には、統計的プロセス管理や実験計画法を学び、製造データの解析、工程の最適化、品質改善の方法を習得しました。本講演では、教材作成のプロセス、ワークショップの実施方法、得られた成果について...
    Skill level: beginner
    photo of 栃原 真二 栃原 真二 KMバイオロジクス株式会社
  • JMPおよびchatGPT-4oを使用した構造データの簡易解析 〜熱中症による救急搬送複合リスクとなる気象因子の探索（オープンデータ）を題材にした分析ツールの比較〜本発表はオープンデータを対象に、JMPおよびchatGPT-4oによる構造データの簡易解析についての利便性について比較した質的研究である。題材として「熱中症による救急搬送複合リスクとなる気象因子の探索を掲げ、両分析ツールの比較を機械学習の手法の一つであるディシジョンツリーを用いて行った。本研究の目的が「短時間で簡単にデータ分析を行う」こととしたため、このデータセットの作成から分析に関し、短時間で得られた出力の視認性・可読性を主な評価とした。両者の出力を見比べると、 JMPの出力は視認性・可読性に優れるものの、chatGPT-4oは出力の読み取りが困難であった。また、chatGPT-4oは出力の再現性に乏しいことが確認された。chatGPT-4oは近年の話題性や拡張性の高さから初学者にとって扱い...
    Skill level: beginner
    photo of 宮野 照生 宮野 照生 and others
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