Visual Six Sigma: Making Data Analysis Lean, 2nd Edition Front Cover

Visual Six Sigma: Making Data Analysis Lean, 2nd Edition

  • Length: 576 pages
  • Edition: 2
  • Publisher:
  • Publication Date: 2016-06-27
  • ISBN-10: 1118905687
  • ISBN-13: 9781118905685
  • Sales Rank: #2203203 (See Top 100 Books)
Description

Streamline data analysis with an intuitive, visual Six Sigma strategy

Visual Six Sigma provides 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.

Table of Contents

PART ONE BACKGROUND
Chapter 1 Introduction
Chapter 2 Six Sigma and Visual Six Sigma
Chapter 3 A First Look at JMP
Chapter 4 Managing Data and Data Quality

PART TWO CASE STUDIES
Chapter 5 Reducing Hospital Late Charge Incidents
Chapter 6 Transforming Pricing Management in a Chemical Supplier
Chapter 7 Improving the Quality of Anodized Parts
Chapter 8 Informing Pharmaceutical Sales and Marketing
Chapter 9 Improving a Polymer Manufacturing Process
Chapter 10 Classification of Cells

PART THREE SUPPLEMENTARY MATERIAL
Chapter 11 Beyond “Point and Click” with JMP

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