【资料名称】：Visual Six Sigma: Making Data Analysis Lean
【资料作者】：Ian Cox  (Author), Marie A. Gaudard (Author), Philip J. Ramsey (Author), Mia L. Stephens (Author), Leo Wright (Author)
【资料来源】：Wiley
【资源格式】: PDF
【页数】：504 pages
【出版时间】: December 21, 2009
【发表原因】: 论坛首发，搜索无重复
【简介及目录】：
Product DescriptionBecause 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.


From the Inside FlapYour 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.