Cox, Ian

Visual Six Sigma: Making Data Analysis Lean

Cox, Ian - Visual Six Sigma: Making Data Analysis Lean, ebook


Ebook, ePUB with Adobe DRM
ISBN: 9781119222255
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Printing173 pages with an additional page accrued every 5 hours, capped at 173 pages
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Streamline data analysis with an intuitive, visual Six Sigma strategy

Visual Six Sigmaprovides 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.

Keywords: Visual Six Sigma: Making Data Analysis Lean, Second Edition; Ian Cox; Marie Gaudard; Philip J. Ramsey; Mia L. Stephens; Leo Wright; SAS; North Haven Group; JMP; JMP 11; JMP 11 Pro; Six Sigma method; Six Sigma techniques; Six Sigma strategy; easy Six Sigma; visual Six Sigma examples; business management methods; process improvement; data analysis techniques; data analysis tools; quality management; data presentation; data mining; process design; lean data analysis

John Wiley and Sons, Inc.
Publication year
Wiley and SAS Business Series
Page amount
576 pages
Printed ISBN

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