Visual Six Sigma: Making Data Analysis Lean

Cox, Ian; Gaudard, Marie A.; Ramsey, Philip J.; Stephens, Mia L.; Wright, Leo T.

ISBN 10: 0470506911 / ISBN 13: 9780470506912

Published by John Wiley & Sons Inc (edition 1), 2009

About this Item

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 0470506911-11-1

Bibliographic Details

• Title: Visual Six Sigma: Making Data Analysis Lean
• Publisher: John Wiley & Sons Inc (edition 1)
• Publication Date: 2009
• Language: English
• ISBN 10: 0470506911
• ISBN 13: 9780470506912
• Binding: Hardcover
• Edition: 1.
• Condition: Good

About this title

Synopsis

Because of its unique visual emphasis, Visual Six Sigma opens the doors for you to take an active role in data–driven decision making, empowering you to leverage your contextual knowledge to pose relevant questions and make sound decisions.

This book shows you how to leverage dynamic visualization and exploratory data analysis techniques to:

• See the sources of variation in your data
• Search for clues in your data to construct hypotheses about underlying behavior
• Identify key drivers and models
• Shape and build your own real–world Six Sigma experience

Whether you 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 strategies, process, and road map to put Visual Six Sigma to work for your company.

Broaden and deepen your implementation of Visual Six Sigma with the intuitive and easy–to–use tools found in Visual Six Sigma: Making Data Analysis Lean.

About the Author

Ian Cox, PhD, is Solutions Manager for JMP Sales and Marketing. He has worked for Digital Equipment Corporation, Motorola, and Motorola University and is a Six Sigma Black Belt.

Marie A. Gaudard, PhD, is a Partner with the North Haven Group and an Emerita Professor of Statistics at the University of New Hampshire. She has worked extensively as a teacher and consultant in industry, focusing on statistical quality improvement, predictive modeling, and data analysis.

Philip J. Ramsey, PhD, is a Partner with the North Haven Group and a member of the statistics faculty at the University of New Hampshire. He is an industrial statistician with extensive experience in applying statistical methods to products, processes, and research and development programs.

Mia L. Stephens, MS, is an Academic Ambassador with the JMP division of SAS. Formerly a trainer, consultant, North Haven Group partner, and statistics instructor at the University of New Hampshire, she is an expert in Lean Six Sigma and Design for Six Sigma program deployment.

Leo T. Wright is Product Manager of Six Sigma and Quality Solutions for the JMP division of SAS. He has worked for several Fortune 500 manufacturing organizations and is a Six Sigma Black Belt and an ASQ Certified Quality Engineer.