Visual Six Sigma: Making Data Analysis Lean

2.6. Conclusion

In this chapter, we have given an overview of Six Sigma and Visual Six Sigma. The "Six Sigma" section presented our definition of Six Sigma as the management of variation in relation to performance requirements, and briefly described some wider aspects of Six Sigma. The section "Variation and Statistics" emphasized the key role of statistics as detective, namely, EDA. The next section dealt briefly with dynamic visualization as a prerequisite for successful detective work, while the section "Visual Six Sigma: Strategies, Process, Roadmap, and Guidelines" aimed to summarize the three key strategies and the process that will allow you to solve data mysteries easily, more quickly, and with less effort. Through the Visual Six Sigma Data Analysis Process and the Visual Six Sigma Roadmap, the application of these strategies will be illustrated in the case studies.

Chapter 3 aims to familiarize you a little with JMP, the enabling technology we use for Visual Six Sigma. Its purpose is to equip you to follow the JMP usage in the Visual Six Sigma case studies that form the heart of this book. With the background in Chapter 3 and the step-by-step details given in the case studies, you will be able to work along with the investigators in the case study chapters, reproducing their graphs and reports. Maybe you will even venture beyond their analyses to discover new knowledge on your own! In any case, you will learn to use a large repertoire of techniques that you can then apply ...