Statistical Software
For Consumer Products Engineers, Scientists and Marketing Professionals
Making consumer products are as complex as any processes you will find in industry. Designing billion-dollar brands is multifaceted and requires well-defined processes that minimize costs and maximize speed to market. Marketing your innovation is dependent on analyzing survey data before, during, and after rollout of a final product.
JMP data analysis software from SAS enables you to explore your product from concept to the consumer’s home and beyond. Develop studies to learn from root-cause investigations, how to optimize a process through efficiently designed experiments, and better understand consumer sentiment, all using the power of JMP to guide the way.
Have a minute? See JMP in action.
P&G
“Visualization is the key to everything because this is usually what people understand – particularly in management. They don’t want to deal with numbers. Give them a picture that tells the story instead. It doesn’t have to be the most precise picture; it just has to tell the story that holds the conclusion. This is also where I must say I see there is strength in JMP to deliver those graphics and thoughts. And the interactivity.”
Beatrice Blum | Statistician
JMP Capabilities for the Consumer Products Industry
Design of Experiments
Actively manipulate factors according to a pre-specified design to quickly and easily gain useful, new understanding.
Measurement System Analysis
Analyze and understand the capability of your measurement systems. Uncover lurking sources of variation.
Statistical Process Control
Separate common and special causes of variation to assist in analyzing your processes, including problem investigation, out-of-control conditions and ongoing monitoring for stability.
Survey Response Analysis
Quickly learn what consumers think about your products. Import industry standard survey data directly into JMP.
Stability and Shelf Life Analysis
Explore and establish expiration dating and easily calculate confidence limits and crossing times. ICH adherence guidelines for regulated products are built in.
Robust Process Optimization
Find the sweet spot in your process where performance is minimally sensitive to variation for all critical quality attribute (CQA) goals.
Promotional Offering Response Analysis
Learn what demographic groups respond positively, and maybe more important, negatively to promotional product offerings for better targeted offerings in the future.