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Topic Areas

Morning Topics

Each seminar features a thought leader who will share best practices for one of the following topics:

Data Mining

Learn how to use data mining to dig up meaningful patterns in large data sets and illuminate your decision-making process. Through a series of case studies, you will discover the tools of interactive and visual data mining and how to apply them to your work.

You’ll learn how to:

• Identify appropriate problems for data mining.
• Explore and prepare data for mining.
• Use a variety of techniques, including decision trees and neural networks, to build accurate predictive models.
• Evaluate the quality of data mining models.

• Upcoming data mining events
• Resources for data mining

Data Visualization

What defines good visual analytics? How can predictive analytics be used to understand the past, monitor the present and predict future outcomes? This presentation will help you learn how many analytical tasks can be handled through the use of relatively simple visualizations, including how to:

• Spot trends in your data that you can act on – immediately.
• Communicate your discoveries to colleagues in your organization and beyond.
• Build better predictive business models to anticipate future outcomes.
• Interact in new ways with your data through graphics.

• Upcoming data visualization events
• Resources for data visualization

Design of Experiments

Find out how to meet your toughest challenges with design of experiments (DOE). You’ll gain new insights on how to control the design process, meet complex experimental design requirements, and address optimal split plot design where one or more factors are held constant within a group but vary between groups. This presentation will benefit both researchers new to design of experiments as well as expert investigators. Combining theory, optimal design examples and engaging demos, this seminar will provide tips for:

• Screening dozens of factors.
• Dealing with unusual sample sizes or unusual blocking requirements.
• Working with textbook designs that don't quite match experimental requirements.
• Specifying the number of runs, rather than having sample size dictated to you.
• Accounting for the variability of uncontrollable factors.
• Augmenting designs without doubling the number of runs already completed.

• Upcoming design of experiments events
• Resources for design of experiments

Reliability

Discover the path to product consistency and quality. Improve the quality of your product and process through fresh insights surrounding the next generation of reliability data. Real world examples will demonstrate how component and system reliability methods can improve your business performance.This seminar will cover statistical and graphical techniques for:

• Life Distribution Fitting.
• Competing Cause Analysis.
• Accelerated Life Testing.
• Recurrence Analysis.
• Degradation Studies.

• Upcoming reliability events
• Resources for reliability

Afternoon Topics

Each seminar features our technical experts who provide practical tips for integrating analytics into your work. Topics vary and include:

• The JMP framework
• Visual analysis techniques
• Interactive problem solving
• Accessing enterprise data
• Synergies between data mining and DOE
• Efficient modeling and simulation
• Geomapping and Microsoft Excel integration
• Introduction to JMP Scripting Language

 

See a listing of events by topic:

• Data Mining
• Data Visualization
• Reliability

On-demand webcasts

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