Data Visualization experts Amoolya Singh (Calico), Kathleen Schneider (Lundbeck) and Scott Wise (SAS) presented JMP’s latest Statistically Speaking event: Data Visualization for Scientists and Engineers.. More than 1,900 individuals registered for the event, making it one of the most successful single events in the series.
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 with registrants now that the event has concluded. This list pulls appropriate assets from across our web site, and includes white papers, webinars, JMP On Air episodes, blogs, STIPS modules and more.
If you have any questions about recommendations related to this event, please feel free to contact Larry LaRusso.
Sales Force Campaign Link (On Demand) Found Here
Recommended Resources
The STIPS module on exploratory data analysis, STIPS Course
You might want to consider positioning our entire Statistical Thinking for Industrial Problem Solving, free online course, but this module in particular covers many of the same topics covered in the seminar including how to uncover patterns in your data, understand potential relationships between variables, and find anomalies, such as outliers or unusual observations.
Intentional visualizations help untangle complex data, Statistically Speaking
In this Statistically Speaking talk, keynote Jon Schwabish talks about ways we can approach data visualization with more racial equity awareness for better outcomes in policy, sports and the environment. While the keynote is pretty targeted, the panel is strong. Schwabish is joined by Tim Chartier from Davidson and Court Sandau of Chemistry Matters to talk about how good data visualizations, backed by statistics and best practices, are a powerful way to explore data, find new analyses to pursue and transcend communication barriers with a nontechnical audience. Panel covers what we need to know about good visual design, ethical considerations for communicating with data and the tradeoffs we make when creating graphs. Very interesting discussions.
Faster insights through automated clustering and visualization: An MLB case study, Tech Speaking
In this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data. JMP is on full display while Sig share’s how data visualization can spot clumps of data; how to use automated clustering to discern clusters with a high degree of accuracy; and how to fine tune clustering algorithm to handle unique challenges in your data.
Episode 19 JMP On Air, Data Visualization Episode, Multiple Speakers
This was a special theme-based episode of JMP On Air, focused on data visualization. The two-hour session includes talks from Wendy Tseng (collaborative platforms); Ross Metusalem (Getting High Quality Visualizations into Presentations); Peter Hersh (Virtual Joins); Phil Kay (Visualizing Complex Behaviors); Mike Anderson (Graph Varieties). All topics are great, but it might be a lot to ask someone to invest two hours. If that’s the case, consider sharing Xan’s “All Graphs are Wrong, but Some are Useful,” session only.
All Graphs are Wrong, but Some are Useful, JMP On Air Session within Episode 19, Xan Gregg
This Featured Program for one of our JMP on Air episodes is a very strong presentation, shows the current version of JMP and it’s easy to digest. It’s also a modest time commitment for prospects. Xan talks about how effective data visualization is for understanding information, but it can be an imperfect. He explains how understanding visual perception can help us make more effective data visualizations and shows how JMP Graph Builder can improve the presentation of your data to tell a clearer story.
Best Practices in Data Visualization, Technically Speaking
This technically speaking with Xan Gregg talks how understanding visual perceptions can help make more effective visualizations. He also talks about WHY data visualization is the most efficient tool for understanding information but how it’s far from perfect. Xan also gives a great example that demonstrates best practices for giving a graph a makeover.
Data Visualization Best Practices Can Transform the Work of Scientists and Engineers, Statistically Speaking
Definitely one of our strongest assets. This session includes a strong keynote and panel presentation. The keynote, Eight Data Visualization Myths, is presented by Nick Desbarats and gives good examples of good (and bad) chart design and goes into very interesting discussion around brain science and how to influence how people perceive data. The panel includes Desbarats, Chris Chen (W.L. Gore) and Xan Gregg (JMP) and goes deeper into data visualization best practices to help audiences understand your story, particularly at engineering and science organizations.
Going Beyond Spreadsheet Analytics with Visual Data Discovery, Technically Speaking
Dan Valente and Scott Wise go through this case study which shows you how to easily pull in data from spreadsheets and other sources into JMP to do your data discovery. Includes tips for building visualizations and statistical models. Also, some discussion around reports and dynamic dashboards. The landing page also gives you the ability to download .xls worksheets and JMP data table to try for yourself. The landing page also promotes the JMP trial. Only around 100 views in the last 365 days, but those who do view watch most (or all) of the webinar. Average nearly 18:00 of view time in the 30:00 video.
Working with and Interpreting COVID Data, Non-Series Webinar with Byron Winegard
Though the topic is not explicitly about visualizing your data, Bryon shows JMP’s superiority in this area. Given the timeliness of topic and how familiar pandemic data is to the majority of prospects, this could be an appealing asset to share. It is one of our more popular webinars, with more than 1,600 views (>100 views a day) since it’s release at the end of March. More than 500 views, however, came on the day of the live session.
5 Steps to Successful Data Visualizations, JMP Blog, Nina Chan interviews Jorge Camoes
This blog is from 2017, but it is very popular with readers, have accumulated more than 12,000 views in the last three years. In this blog, Nina interviews Jorge to discuss his popular blog Excel Charts, in which he shares strategies for getting the most out of data with common tools like Excel and his book Data at Work, where he explores these themes and strategies for implementing executive dashboards. Nina also references his strong JMP Explorers seminar.
Effective Visualization Techniques for Data Discovery and Analysis, White Paper
This is an old asset, written in 2010, so probably not a top choice, but it is our most popular data visualization white paper. It’s fairly foundational level asset, a high-level discussion of the power of visualization for analyzing data and spotting trends. I would use this only if you feel like it makes sense for your particular customer/prospect. (We plan to update with a new white paper soon, btw.)
