Alisa Hunt-Lowery presented the latest Technically Speaking live webinar, Quality Tools for Process Improvement Methodologies. With nearly 1,000 registrations the event was a clear success. Alisa covered many aspects of quality, including process improvement methodologies, examples, goals, and methods.
To help JMP sales team engage in more meaningful and productive post-event conversations with customers and prospects, we’ve created the following list of recommended resources to position now that the event has concluded. This list pulls appropriate assets from across our web site.
If you have any questions about recommendations related to this event, please feel free to contact me.

Salesforce Campaign Link Found Here
NXP Semiconductors, Customer Success Story
Usually don’t include a ton of success stories, but this is a fairly recent one that’s a really good match. NXP uses JMP Pro, Six Sigma training and other process-improvement practices to drive success and lead the market. Spends a fair amount of time talking about the DMAIC approach and how NXP uses it with JMP as software behind the effort. Really great JMP screenshots to illustrate tests they run and results.
Traditional and New Quality Techniques for Process Improvement, Analytically Speaking
An older Analytically Speaking on-demand webinar with authors Brenda and José Ramírez. It’s high-level resources that talks about how traditional quality techniques – when updated with the latest advances in analytics and data visualization – can help gain new insights about processes, products and services. Some discussion of performance of raw materials in the production process, testing and sharing with executives.
How to be Strategic About Quality, JMP Blog
This is a blog summarizing the recent Quality-focused Statistically Speaking event immediately below. It includes an excellent 2-minute video on becoming a “strategic statistician” building technical depth, credibility, and the softer, interpersonal skills. This could be an interesting addition to what Alisa covers, sort of sharing that if you can’t communicate process improvement needs and the benefits of improving quality in your process that you won’t improve your organization.
Lead Strategic Quality Engineering Initiatives, Statistically Speaking
This recent Stat Speaking event featured keynote Martha Gardner, Chief Engineer of Quality at GE Aviation. Her keynote, Becoming a Strategic Statistician, talked about the concept of “statistical problem solving” with the backdrop of quality. Garnder was joined by Wende Wilson, Lead Data Scientist of Schweizer Engineering Laboratories; and Bernard Goguelet, Senior Consultant at Deloitte for the panel, which introduced the idea that quality is a strategic pursuit; when it’s done well, it can affect the entire organization because it requires quality data, processes, technology, and most critically, people, to create value. Other tips and advice included the importance of asking the right question, effective ways to share results, and ways to persuade others to upskill so they can make the scientific discoveries they love even faster.
Stay relevant and competitive with modern quality engineering, Statistically Speaking
Christine Anderson-Cook of Los Alamos National Laboratory delivers the keynote. In this talk, titled Avoiding Common Pitfalls in the Early Stages of Improving Quality, she explains why it is essential to spend time identifying the right problem before beginning a quality engineering project. She talks about practical defining metrics, tradeoffs and costs associated with quality projects.
Why quality improvement is imperative in the big data era, Statistically Speaking
Roger Hoerl gives the keynote for this Statistically Speaking event. During his talk he gives an overview of the quality engineering landscape, discusses the reasons why quality improvement is an imperative in the big data era, the limitations of current state-of-the-art quality improvement approaches and the next era of continuous improvement. Also covers the idea of quality improvement through process improvement, the importance of leadership and keeping the focus on problems rather than tools.
You might also want to consider positioning our Statistical Thinking for Industrial Problem Solving, free online course. This whole course is seven modules, totaling about 30 hours of self-paced learning. All are excellent, but consider highlighting these two modules for your customers who attended the 5/26 Stat Speaking event: Quality Methods and Decision Making with Data. The Quality Methods module talks tools for quantifying, controlling and reducing variation in your product, service or process. Topics include control charts, process capability and measurement systems analysis. The Decision Making with Data module talks about tools used for drawing inferences from data. Topics include statistical intervals and hypothesis tests, how to calculate sample size and see the relationship between sample size and power.
Finally, consider sending attendees to our jmp.com landing page for organizations using JMP. The new Leveraging Data Across the Organization demonstrates the benefits of JMP for the organization – beyond the individual. Landing page has been translated in French, German, Japanese, Italian, Korean, Chinese, and Spanish. Call to Action is “Schedule a Demo” so could be a good qualifier for additional follow up.