Building a Modeling Culture With Survey Data ( US 2018 106 )

[#1]

Level: Beginner
Scott Reese, Scientist, Procter & Gamble
Amy Phillips, Principal Scientist, Procter & Gamble

To improve and support P&G’s data-driven decision making, our team has been assessing the quantitative analytical needs of our internal JMP users. We use the analogy that providing internal support is similar to managing a consumer goods product. Instead of a typical product and package that we would market and sell to consumers, we translated our support efforts into a combination of the product (necessary tools), package (delivery of training) and communication (awareness of benefits). As part of this effort, we conducted internal surveys to understand which JMP platforms were being used, the existing skill levels of users and what areas of future learning were desired. This talk focuses on demonstrating basic consumer survey analysis using the Categorical platform with the results of the internal JMP usage survey. We will also discuss how we approached designing and placing the survey to encourage hearing from as many of our users as possible.