Visual Six Sigma: Making Data Analysis Lean

by Ian Cox, Marie A. Gaudard, Mia L. Stephens

Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization.

The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools.

See where, why, and how your data varies Find clues to underlying behavior in your data Identify key models and drivers Build your own Six-Sigma experience Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.

545 pages, Kindle Edition

First published January 1, 2009

Reviews

[Warren · Rating 4 out of 5]

Visual Six Sigma by Ian Cox is in two parts.

In Part I
Ch1 introduces data-driven-decision-making, and transformation of moving to a focus on 'data discovery' processes. Ch3 introduces JMP software (it's visual; see Ch2), and how it puts data-driven-decision-making into practice.

In Part II
Chapters 4 to 9 are case studies.