Visual Six Sigma: Making Data Analysis Lean - Rilegato

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

Rilegato

ISBN 10: 0470506911 ISBN 13: 9780470506912

Casa editrice: John Wiley & Sons Inc, 2010

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

Praise for Visual Six Sigma: Making Data Analysis Lean

"The authors of this book have done an outstanding job of illustrating how the practice of Six Sigma can be simplified and made more user-friendly through the use of visual data analysis methods. In this context, the book is thoughtfully written and laid out in a manner that virtually anyone can follow and use. For these reasons, I would highly recommend this book for any novice practitioner or newcomer to the field of Six Sigma."
Mikel J. Harry, PhD, Co-creator of Six Sigma and CEO, Six Sigma Management Institute

"The authors of Visual Six Sigma: Making Data Analysis Lean have forged a vital link between the important technology and philosophy of Six Sigma and the power of exploratory graphical analysis. Through the use of JMP software and a variety of case studies, the book will help quality practitioners to get the most out of their data."
Dick De Veaux, PhDProfessor of Statistics, Williams College

Exploit your data to make better decisions faster

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.

Visual Six Sigma: Making Data Analysis Lean 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 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 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.

Dal risvolto di copertina interno

Your company needs effective new tools for connecting more closely with customers, identifying emerging market trends, and seizing opportunities for growth. Enter Visual Six Sigma: Making Data Analysis Lean.

Visual Six Sigma shows you how to exploit your data to make sound business decisions more quickly and easily than you could otherwise, with or without the support of a formal initiative like Six Sigma. Using the powerful visualization capabilities of JMP software from SAS Institute Inc. (a fully functional demonstration version is available for download), this hands-on resource provides you with the tools to:

• Understand and navigate JMP statistical software

• Use dynamic visualization methods and other statistical techniques at various stages in your data analysis process, guided by the Visual Six Sigma Data Analysis Process

• Put the relevant how-to steps of Visual Six Sigma in action, following the Visual Six Sigma road map

• Employ visualization to support techniques such as measurement system analysis, analysis of designed experiments, modeling, optimization and simulation, and data mining

This pragmatic guide presents six in-depth case studies highlighting Visual Six Sigma in action, while addressing complex problems and opportunities faced by individuals and teams in a variety of application areas. Easy to read, easy to digest, and easy to implement, Visual Six Sigma is a powerful profit-building resource and your must-have tool for driving lasting improvement.

Dettagli dell?edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2010
• ISBN 10: 0470506911
• ISBN 13: 9780470506912
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 492
• Contatto del produttore: non disponibile