Visual six sigma : making data analysis lean

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 exper. Read more... Abstract: Visual six sigma is a practical and pragmatic approach to data analysis and process improvement. This approach has been developed in response to a growing business need to broaden the use of six sigma-type thinking beyond the realms of highly trained and statistically savvy black and green belts. Read more... 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. Content: Introduction -- Six Sigma and Visual Six Sigma -- A first look at JMP® -- 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.