Book description
Through Visual Six Sigma, learn what your data is telling your business
In the typical business environment of process improvement, you want simple-to-use tools that everyone can use at all levels to rapidly explore and interpret data. Visual Six Sigma: Making Data Analysis Lean helps you use your own data to drive incredible improvement within your business.
Divided into three parts-background, case studies, and JMP highlights-Visual Six Sigma covers
Six Sigma and Visual Six Sigma
A first look at JMP
Transforming pricing management
Improving white polymer manufacturing
Designing experiments and modeling relationships
Broaden and deepen your application of Six Sigma thinking within your organization with the intuitive and easy to use tools in Visual Six Sigma: Making Data Analysis Lean.
Table of contents
- Copyright
- Wiley & SAS Business Series
- Preface
- Acknowledgments
- Background
-
Case Studies
- Reducing Hospital Late Charge Incidents
- Transforming Pricing Management in a Chemical Supplier
- Improving the Quality of Anodized Parts
- Informing Pharmaceutical Sales and Marketing
- Improving a Polymer Manufacturing Process
-
Classification of Cells
- Setting the Scene
- Framing the Problem and Collecting the Data: The Wisconsin Breast Cancer Diagnostic Data Set
- Uncovering Relationships
- Constructing the Training, Validation, and Test Sets
- Modeling Relationships: Logistic Model
- Modeling Relationships: Recursive Partitioning
- Modeling Relationships: Neural Net Models
- Comparison of Classification Models
- Conclusion
- Notes
- Index
Product information
- Title: Visual Six Sigma: Making Data Analysis Lean
- Author(s):
- Release date: December 2009
- Publisher(s): Wiley
- ISBN: 9780470506912
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