SAS Co-Founder and Executive VP
Creator and chief architect of JMP
JMP produces interactive software for desktop statistical discovery. Pronounced “jump,” its name suggests a leap in interactivity, a move in a new direction. John Sall, SAS co-founder and Executive Vice President, created this dynamic software and remains its chief architect and R&D leader. Introduced in 1989 with scientists and engineers in mind, JMP has grown into a family of statistical discovery products used worldwide in almost every industry. From its beginnings, JMP software has empowered its users by enabling interactive analytics on the desktop.
Version 1 of JMP shipped on Oct. 5, 1989.
JMP was developed to capture the new value in the graphical user interface (GUI) in the personal computer in the 1980s. This innovation arrived first on the Apple Macintosh in 1984 and a few years later on Windows. The GUI changed everything. Instead of using keyboards, people could do much of their work with a pointing device, the mouse. Computing became not just easy, but actually fun. Spreadsheet results didn’t have to be displayed only as numbers – they could be graphs. It became possible to identify patterns and outliers in data. JMP allowed users to do this, and one of its original interface guidelines was to provide a graph for every statistic.
JMP Control Chart
In the 1980s and 1990s, engineers and analysts embraced information-based decision making and project-oriented improvement programs. They sought to improve product quality and process efficiency as markets became competitive globally. JMP became one of several principal tools in these wide-ranging initiatives.
JMP embraced all the themes for industrial statistics: statistical quality control, reliability and design of experiments, or DOE. DOE in JMP started as a simple add-on product to create classical designs, but it grew into a rich integrated environment for designing experiments that make the most efficient use of available resources. Design of experiments in JMP remains one of the software’s most uniquely powerful features. DOE, quality improvement and reliability analysis are just some of the application areas where JMP is now used.
Speeding Up Statistical Discovery
Over the years, features have been designed to speed up the rate at which JMP users can understand data, visualize it, perform the appropriate analytics and make statistical discoveries. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, all let users discover more in their data. Complementing the development of these features have been advancements in processing data efficiently: multithreading/multi-CPU support, use of the Open GL graphic library and 64-bit support. And because JMP has always had in-memory architecture, users can interact immediately with data without having to submit code and wait for output or graphs. With every new release, JMP developers have focused on refining ways that make the software faster, more efficient and able to handle larger data sets with ease and speed, always pushing the limits of what is possible on personal desktops, laptops, and now the web with JMP® Live.
JMP Life Distribution Platform
JMP remains dedicated to providing a graph for every statistic and vice versa. JMP developers, including John Sall, continue to add cutting-edge and modern statistical methods to each subsequent version of JMP. Specialized analysis techniques from a variety of industries are also added to the software’s functionality with every release. And every version of JMP aims to improve ways of visualizing data and building informative graphs more quickly.