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Bibliographic Details

Title: Visual Six Sigma: Making Data Analysis Lean (Wiley and SAS Business Series)
Publisher: Wiley
Publication Date: 2016
Language: English
ISBN 10: 1118905687
ISBN 13: 9781118905685
Binding: Hardcover
Edition: 2nd Edition
Condition: acceptable

About this title

Synopsis

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.

About the Author

IAN COX is with the JMP Division of SAS.

MARIE A. GAUDARD is a statistical consultant, and a statistical documentation writer for the JMP Division of SAS.

MIA L. STEPHENS is with the JMP Division of SAS.

"About this title" may belong to another edition of this title.

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