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  6. JMP Pro

JMP Pro

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last updated:Nov 30, 2022

SAS Institute Japan JMPジャパン事業部
SAS Institute Japan JMPジャパン事業部
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Sophisticated methods for conducting advanced analysis.

JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers and includes familiar excellent features such as visual data access, data manipulation, interactive operation methods, a wealth of analytical functions, and scalability, along with numerous advanced techniques. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using various different methods, state-of-the-art modeling techniques, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform sophisticated and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This enables you to more quickly find breakthroughs in problems and anticipate and control the future.

    Production Management SystemProcess Control SystemBusiness Intelligence and Data Analysis
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JMP Pro

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  • Related Link - https://www.jmp.com/ja_jp/home.html

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Main Features of JMP Pro ■ Predictive Modeling and Cross-Validation: Effectively build and validate models ■ Model Comparison: Determine the best model for the problem at hand ■ Formula Depot and Score Code: Organize models in the formula depot and save model score codes ■ Connection to SAS: Access the SAS system and integrate data ■ Cutting-Edge Modeling: Build excellent models even with complex data ■ Reliability Block Diagram: Fix system vulnerabilities and avoid future failures ■ Simulating Repairable Systems: Simulate repair events to understand downtime, repair frequency, and costs ■ Coverage Arrays: Plan experiments to maximize defect discovery rates while minimizing costs and time ■ Mixture Models: Analyze time and space-related data when multiple subjects are measured or variable groups are correlated ■ Uplift Models: Predict customer segments likely to respond to certain actions for targeted marketing ■ Advanced Computational Techniques: Exact tests, nonparametric exact tests, bootstrap methods ■ Sharing Results: Share results through videos, 3D graphs, and interactive reports

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Applications/Examples of results

JMP Pro Applicable Fields (Example) ■ Customer Relationship Management (CRM) - Preventing service cancellations - Proposing cross-sell & upsell opportunities - Customer segmentation ■ Manufacturing - Improving manufacturing processes - Enhancing product reliability/quality ■ Pharmaceuticals - Screening lead compounds - Improving quality in pharmaceutical processes ■ Banking and Insurance - Credit risk management - Fraud prevention ■ Healthcare - Predicting treatment effects - Disease diagnosis

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SAS

SAS Institute Japan JMPジャパン事業部

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JMP is one of the business divisions of SAS, a global leader in business intelligence and analytics, and is responsible for the sales and support of the Japanese version of JMP. SAS is a leading company in business analytics software and services and is the largest independent vendor in the business intelligence market. Based on a framework that enables advanced analytics and predictive insights, SAS provides innovative solutions to over 45,000 customer sites. By enabling quick and accurate decision-making through business solutions that solve complex management challenges, SAS supports customers in improving performance and creating value. Since its establishment in 1976, it has continued to provide "The Power to Know" to customers around the world.

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The related categories of Production Management System

  • IT/Network
  • Information Systems
  • Business Intelligence and Data Analysis
  • SCM/Production Management
  • Process Control System
  • Production Management System
          

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