Visual Six Sigma: Making Data Analysis Lean, Second Edition, by Ian Cox, Marie A. Gaudard, and Mia L. Stephens, allows you to make sound business decisions faster by understanding the patterns of variation in your data and separating it into useful signal and random noise. Leading with a visual approach to analysis, it presents underlying principles, concepts, and a detailed roadmap that enable you to take an active role in data-driven process improvement and decision making. It empowers you to use your contextual knowledge to pose relevant questions, get good answers, and make sound decisions.
Like the first edition, the second edition of this groundbreaking book guides you in how to use JMP, intuitive desktop software from SAS, to create visual representations of data that promote discoveries and deeper understanding, and facilitate communication of the resulting new knowledge. Complete with an updated companion website offering supporting materials, this revised and expanded edition features new chapters on data quality and how to personalize and extend JMP and revised case studies with detailed instructions and illustrative screenshots demonstrating the latest functionalities in JMP and JMP Pro, version 12.
Use these case studies, along with a free trial of a fully functional version of JMP, to experience the competitive advantage that comes with visual exploration of your data. Let Visual Six Sigma: Making Data Analysis Lean, Second Edition, provide the roadmap that guides your next important innovation or decision.