Latest Posts

  • Innovations for a Sustainable Planet Humanity faces unprecedented challenges on its warming planet, where disasters dominate headlines, while sustainable progress remains underreported. However, the UN's Sustainable Development Goals, corporate commitments, and dedicated researchers have developed spectacular, innovative solutions. Pivotal in promoting sustainable practices and minimizing environmental impacts, these solutions are sup...
    Plenary
    photo of Alexander Verbeek Alexander Verbeek
  • Thanks to JMP DOE for the Next Level of Assay Development Bioassays are a key analytical technology in the biopharmaceutical industry, ranging from basic research to drug discovery. Due to their complexity and the multiple steps needed to handle assays, it is crucial that they be optimized to develop a fit-for-purpose bioassay, especially since the assays must perform robustly if they are to be used for the rel...
    Skill level: beginner
    photo of Swetlana Berger Swetlana Berger
  • Navigating Statistical Limits: Understanding Confidence, Prediction, and Tolerance Limits In this presentation, we explore the crucial role of predicion, confidence, and tolerance limits. Given that they are easy to calculate and appear in most textbooks, they are commonly used; however, that also means that they are often misused or misinterpreted. One of the current issues lies in accurately estimating these limits for mixed models, which is a serious limitation in most...
    Skill level: intermediate
    photo of Thomas Bladt Thomas Bladt
  • Extending Data Connectors with Python: Query Builder Integration and More 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...
    Skill level: intermediate
    photo of Neal Siekierski Neal Siekierski
  • The Application of JMP in the Six Sigma Methodology: Practical Examples This presentation focuses on the integration of JMP software within the Six Sigma DMAIC methodology. This powerful combination streamlines various aspects of the Six Sigma toolbox, making it easier for teams to implement data-driven improvements efficiently.JMP provides advanced statistical analysis and visualization tools that enhances the DMAIC phases. Key components of JMP that will be highlight...
    Skill level: beginner
    photo of Marjoleine Wevers Marjoleine Wevers and others
  • Wafer Sheet Resistance WIW-NU Study In the semiconductor industry, within wafer non-uniformity (WIW-NU) has been the most critical indicator to quantify film performances. Produced wafers should meet the desired film properties homogeneously. We are facing a huge challenge to improve process tuning due to lack of smart WIW-NU metrics.The baseline WIW-NU metric can only provide the wafer map and basic sta...
    Skill level: intermediate
    photo of Charles Chen Charles Chen and others
  • Automatic Visualization of DOE Model Planning and executing a design of experiments (DOE) can be a complex task involving multiple specialists. Post-experiment, the challenges of analyzing, interpreting, and communicating results persist, particularly when stakeholders have varying levels of technical expertise. To streamline this process and standardize our workflow, we developed a script that automatically visualizes DOE results. Th...
    Skill level: beginner
    photo of Kasper Fibæk Schlosser Kasper Fibæk Schlosser
  • Efficient Strategies for Selecting Minimal Solute Sets in Linear Solvation Energy (LSER) Models Linear solvation energy relationship (LSER) models are used in adsorption and chromatography to describe how molecular interactions influence solute retention or adsorption. These models relate the partitioning coefficient of a solute to various molecular properties, enabling predictions based on solute descriptors, which can be looked up or calculated via quantum chemistry. Mathematically, LSER mo...
    Skill level: intermediate
    photo of Pavel Gurikov Pavel Gurikov and others
  • How to Decode Rainbows: The Best (and Least Confusing) Ways to Analyze Spectral Data Analyzing spectral data is a bit like trying to decode a rainbow -- it’s beautiful but full of tricky surprises.  Spectral data presents unique challenges due to its highly correlated nature, which renders many conventional techniques ineffective. In this talk, we identify these challenges and explore advanced methods tailored for handling such data. Specifically, we dive into three power...
    Skill level: intermediate
    photo of Bill Worely Bill Worely and others
  • Automating Control Charts with JMP Live Precise control of the batch parameters is crucial. JSR Micro NV manages batches with 20 to 400 parameters across approximately 100 different products. Additionally, raw materials require control.Most of our data is stored in the SAP HANA database and the OSI PI data historian. JMP queries data from SAP HANA using an ODBC driver and accesses the OSI PI server directly. With JMP Live, we have contin...
    Skill level: intermediate
    photo of Ruben Lenaerts Ruben Lenaerts
  • Using JMP for Defectivity to Process Correlation: A Case Study The semiconductor industry faces significant challenges in extracting and leveraging data to improve yield. One of the Defectivity workshop's missions is to locate and identify physical defects on production wafers caused by the process. These defects can directly impact the product electrical performance, highlighting the need for a better understanding of the correlation between defectivity level...
    Skill level: beginner
    photo of Louis Maitre Louis Maitre and others
  • ANOVA and Beyond: Turning Data Chaos into Statistical Bliss with JMP This work aimed to create a detailed JMP Journal to improve the effectiveness and consistency of data analysis across our team. This journal ensures that all analyses are performed consistently and accurately by providing a step-by-step guide from initial data cleaning to the presentation of final results. This journal provides comprehensive instructions for analyzing the normality of the data and ...
    Skill level: intermediate
    photo of Barbara Mallmann Barbara Mallmann and others
  • Syensqo Industrial Analytics Academy 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...
    Skill level: intermediate
    photo of Carlos Perez Galvan Carlos Perez Galvan
  • Work Smarter, Not Harder: Git on Board! In the dynamic landscape of script development, maintaining efficiency and coherence in the middle of frequent updates and collaborative input can be frustrating. This presentation shows the power of Git software for collaborative work on scripts, offering solutions to common issues such as accidental deletions, version control, and the hassle of manual backups. Git is an essential tool for teamwor...
    Skill level: intermediate
    photo of Bernd Heinen Bernd Heinen and others
  • Helper Functions for Exploratory Data Analysis Data visualization with JMP is like navigating through a maze – both involve finding clarity through complexity. But with JMP, you’re not just solving a puzzle, you’re unlocking a whole new level of insights with data visualization and interactive features. Isn’t it cool how data can guide us through even the most tangled paths?In this talk, I present helper functions that make working with JMP eve...
    Skill level: intermediate
    photo of Holger Specht Holger Specht OSRAM International GmbH
  • Leveraging JMP for Enhanced Data-Driven Decision Making in BASF Antwerp’s Chemical Production Plants In today’s rapidly evolving industrial landscape, the ability to leverage data analytics is paramount for achieving operational excellence and informed decision making. Our goal is to develop robust data analytics skills among production staff, empowering them to harness the full potential of data and enhance data-driven decision-making processes. This initiative serves as a scaling factor in ...
    Skill level: beginner
    photo of David Autrique David Autrique and others
  • JMP Integration with AWS 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 thank...
    Skill level: advanced
    photo of Guillaume Bugnon Guillaume Bugnon and others
  • Adapting Design of Experiments (DOE) to Enhance Device Performance in RIE Fabrication at SCD SCD (SemiConductor Devices), a global leader in the design and production of advanced infrared detectors and systems, is recognized for its cutting-edge technology and innovation in electro-optical solutions. As a fast-growing company, SCD operates in an environment where development times must be reduced, since being the first to present new products is critical to maintaining a competitive edge. ...
    Skill level: intermediate
    photo of Guy Burshtein Guy Burshtein
  • The Role of Data Analysis in New Process Analysis Technologies The use of different control charting approaches for complex in-process measurements (such as curves and distributions), as well as how statistical tools are used together with automation and data management are critical for efficient and sustainable manufacturing processes.   While in R&D there is greater emphasis on extracting numerous complex measurements to characterise the produc...
    Skill level: intermediate
    photo of Patricia Blanco Garcia Patricia Blanco Garcia and others
  • JMPyFacade: Bridging JMP and Python for Seamless Engaging Analysis In our quest to harness Python's extensive capabilities within JMP, we faced the challenge of integrating Python's flexibility with JMP’s intuitive and interactive user experience. Prior to JMP 18, we achieved this through a workaround ‒ running Python on a server to bypass JMP’s cumbersome Python integration. However, the release of JMP18 re-introduced Python integration, simplifying this pro...
    Skill level: advanced
    photo of Jarmo Hirvonen Jarmo Hirvonen
  • Automation of Data Processing for Accelerated Product Development During product development, reagent formulations for new sequencing platforms require multiple cycles of development, optimization, and robustness testing. The result? Significant amounts of data that need to be processed and compared using statistical analysis. These data handling tasks are often tedious, time-consuming, and prone to copy-and-paste errors. Automation of the data processing workflo...
    Skill level: intermediate
    photo of Elliot Lawrence Elliot Lawrence and others
  • Decision-Making with Prediction Intervals in JMP Profiler: A Case Study from Cencora-PharmaLex In this presentation, we explore the practical application of JMP Profiler, focusing on its improved feature of incorporating prediction intervals. Through a detailed case study from Cencora-PharmaLex, we demonstrate how prediction intervals provide a more robust framework for decision making by quantifying the uncertainty in model predictions. This added feature allows for more informed ...
    Skill level: intermediate
    photo of Haleh Nekoee Haleh Nekoee
  • From Data to Decision: Automated SQC Reporting and Seamless MES/SQC Data Extraction In today's fast-evolving data analytics landscape, efficient reporting tools are key to driving informed decision making. This presentation introduces the complete suite of JMP tools developed to simplify manufacturing execution system (MES) and statistical quality control (SQC) data extraction and analysis for users. Of particular interest is a JMP add-in, the result of a collaboration betwee...
    Skill level: intermediate
    photo of Nicola Brammer Nicola Brammer and others
  • The Prediction of Product Satisfaction by Consumer by Leveraging Laundry Diary Data In analyzing consumer insights for laundry products, the distinction between laundry diary data and panelist-level data is crucial for understanding user experience and detergent efficacy. Laundry diary data offers real-time insights into actual consumer behaviors and preferences, reflecting genuine usage patterns. In contrast, panelist-level data, derived from consumers’ experiences over a few wee...
    Skill level: intermediate
    photo of Nathan Timmermans Nathan Timmermans and others
  • Drag, Drop, and Deploy: Can JMP Really Play a Significant Role in the Future of AI/ML? We provide some friendly banter and debate on the role that JMP and JMP Pro are likely to play amidst modern artificial intelligence (AI) and machine learning (ML) trends. In the evolving landscape of AI/ML, scientists and engineers across industries need intuitive tools for data exploration, model building, and deployment.JMP and JMP Pro, as no-code platforms, simplify and speed up the process fro...
    Skill level: advanced
    photo of Florian Vogt Florian Vogt and others
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