Everyday Efficiency: Making Data Smarter. Making Smarter Data.

Efficiency with data isn’t about cutting corners, it’s about cutting friction. In this session, John Sall and other JMP developers explain how new capabilities in JMP streamline the full journey of data analysis: accessing the right data, organizing it for clarity, and generating new insights through purposeful exploration and experimentation.

Expanded data access makes it faster and easier to bring data in from the systems that people use every day so that analysis starts sooner, with fewer barriers.

Once the data is in, new data table tools make it easier to organize, explore, and filter your tables, letting you move more quickly from data preparation to insight.

Then we turn to the challenge of scale. In applications such as environmental monitoring, where scientists track thousands of variables for signs of contamination, JMP enables large-scale analysis in minutes, highlighting patterns, accelerating time to insight, and broadly sharing those insights across the organization.

Finally, we explore how JMP supports smarter, iterative experimentation. By guiding decisions through intelligent search, Bayesian optimization helps scientists find optimal outcomes with fewer trials.

Together, these improvements reflect a simple idea: with JMP, you spend less time wrestling with data – and more time thinking with it.