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. Learn how to solve more scientific, engineering and business problems correctly the first time – and in less time – by extracting powerful insights from existing data using proven, simple statistical modeling methods.
In this case study, a pharmaceutical manufacturer seeks process improvement in the midst of an alarming number of batch failures and a high degree of variability in the natural materials used in the manufacturing process. You will walk away knowing:
- When to use statistical modeling.
- Why and how to build an appropriate model.
- How to extract information from the models to communicate your findings with others.