Unearth the possibilities in your data
Improving Your Processes With Statistical Models
Do you face scientific, engineering or business challenges that can’t be solved by an appeal to expert judgment, simple spreadsheet analysis or by varying only one thing at a time? Do you seem to have more problems than time available to solve them? Are you forced to regularly cut corners, limiting your understanding of the real drivers of process robustness, effectiveness and efficiency? Does the need to fix problems with existing processes limit the time you can spend innovating and developing new processes and products?
Finding workable solutions – whether in research, development, manufacturing, sales or marketing – from prior data is sometimes difficult due to the complex, noisy relationships between many variables that are difficult or impossible to spot by eye. Learn how JMP users are solving more scientific, engineering and business problems correctly the first time, and in less time, by extracting powerful insights from prior data using proven and simple-to-use statistical modelling methods.
Via real-world case studies, you will discover best practices to:
- Interactively explore the patterns in your data.
- Build useful statistical models of important patterns of variation.
- Visually interact with these models to communicate and drive key improvement opportunities.