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JMP 2015 Discover Summit - Day-1

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Outline/notes on JMP Summit & Discovery, San Diego, 2015

Day One (Tuesday) notes on JMP Summit & Discovery, San Diego, 2015
Jeff Perkinson welcomed 400 attending (the cap on attendance). He has been in leadership for the annual JMP Discovery Summits, and now works for SAS Institute, JMP Division, as manager of JMP customer care. There are now four annual JMP summits: USA, Japan, Europe, and China. There are 16 on the steering committee and 12 were attending and stood for recognition. Their resumes are amazing and you can read about them:

John Sall was the first of two keynote speakers today, and was introduced after Jeff Perkinson mention that information will be on Twitter, Facebook, LinkedIn, G+, Instagram, and live-blogging:

John Sall, SAS Co-Founder and JMP creator, was amazing: "The Design of JMP: A Few of My Favorite Things." He took a deep dive into a few of his favorite aspects of JMP and JMP Pro. We were surprised and delighted at John Sall’s choices. Revisiting JMP history was fascinating and the current and future features were intriguing.

[ED: I have three pages of excellent notes, very meaningful to me, and I expect there will be video available. I’ll add more here, especially on JMP futures: Version 12 was covered at the 2014 Summit, and Version 13, now in development, will be covered in Summit 2016.] After a short break, the second keynote speaker was also brilliant!

Phil Simon is a noted speaker and author: Here are two of his seven books:

  • The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions
  • Message Not Received: Why Business Communication Is Broken and How to Fix It

Phil Simon spoke to the second book, and autographed the first book for those who stood in line to visit with him (such a gentleman and scholar); unsigned books were available for those who didn’t stand in line.

I have some notes on his excellent keynote (to add later) and maybe there will be video clips.
His topic title: How to Create a Culture of Analytics
Pockets of analytic excellence could be a good thing—what organization wouldn’t love having various groups of statistical geniuses guiding decisions? Phil Simon, award-winning author specializing in management, contended that those pockets are often suboptimal and potentially dangerous. What is truly powerful is an organization in which analytical thinking pervades the culture—where experimenting is valued and decisions are based on data as opposed to ‘gut instincts’.

Phil Simon is a frequent keynote speaker and recognized technology authority; award-winning author of seven books; advisor to organizations and individuals on strategy, management, platforms, communication, big data technology; and free-lance writer.

If you were not there to receive his book, you should definitely buy it. Here are the chapter titles for “The Visual Organization”, by Phil Simon:

  • “A good sketch is better than a long speech.” — Often attributed to Napoleon Bonaparte

Preface: A Tale of Two IPOs

  • “Every word of concept, clear as it may seem to be, has only a limited range of applicability.” — Werner Heisenberg


  • “It’s not what you look at that matters, it’s what you see.” — Henry David Thoreau

CH.1 The Ascent of the Visual Organization

  • “Where is the knowledge we have lost in information?” — T. S. Eliot

CH.2 Transforming Data into Insights: The Tools

  • “Man is a tool-using animal. Without tools he is nothing, with tools he is all.” — Thomas Carlyle

CH.3 The Quintessential Visual Organization

  • “People are generally better persuaded by the reasons which they have themselves discovered than by those which have come in to the mind of others.” — Blaise Pascal

CH.4 [Data Visualization] Dataviz in the DNA

  • “Progress is impossible without change, and those who cannot change their minds cannot change anything.” — George Bernard Shaw

CH.5 Transparency in Texas

  • “Knowledge is of no value unless you put it into practice.” — Anton Checkhov

CH.6 The Four-Level Visual Organization Framework

  • “Essentially, all models are wrong, but some are useful.” — George E. P. Box


  • “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” — Jim Barksdale

CH.8 Building the Visual Organization

  • “If you can’t explain it simply, you don’t understand it well enough.” — Albert Einstein

CH.9 The Inhibitors: Mistakes, Myths, and Challenges

  • “Beware of false knowledge; it is more dangerous than ignorance.” — George Bernard Shaw

CODA: We’re Just Getting Started

  • “It’s tough to make predictions, especially about the future.” Yogi Berra

AFTERWORD: My Life in Data

  • “We can’t run from who we are. Our destiny chooses us.” ¬— Martin Landau Rounders

ED: That gives you an idea of these modern brilliant and inspired concepts.

Breakout Sessions, hour one

  • Model Selection Strategies for Definitive Screening Design Using JMP(r) Pro and R
  • Driving Action Through Analytics: Using JMP for Effective Communication
  • Some Considerations for Using the Bootstrap Feature in JMP Pro
  • GENREG Did That? How to Use the Generalized Regression Platrorm in Creative Ways

Hour Two

  • Solving Wide Predivtive Modeling Problems With Clinical and Genomic Data
  • JMP(r) Starting Statistical Thinking in Business Statistics Courses
  • Barcodes - Or How to Discover Shapes in Complex Data
  • A New Analytical Approach to Definitive Screening Designs (Brad Jones)

Hour Three

  • Robust Optimization: Some Tools Based in JMP to Enhance Traditional Taguchi Methods
  • Optimizing Mixtures When the Response Is a Nonlinear Curve
  • Predicting the Competency Improvement in Serious Games Using Tile-Based Action Sequences in JMP
  • Analyzing Survey Data in JMP From Import to Discovery

Hour Four

  • Effective Test Design Using Factor Covering Arrays
  • Best Practices for Producing High-Quality Images of Your JMP Graphs and Analyses for Presentation and Publication
  • Developing a Nondestructive Test Gauge Using the JMP Discriminant Analysis Platform
  • Multiple Correspondence Analysis -- A New Platform for Categorical Variables, Ready to be Explored!

You can see great live Twitter comments and pictures:
Charlie Shipp (talk) 22:40, 12 September 2015 (CDT)

See also