The Six Sigma Project Planner : A Step-by-Step Guide to Leading a Six Sigma Project Through DMAIC

Meet your Six Sigma project goals--on time and on budget

Six Sigma demands results. These results are delivered by projects that are tightly linked to customer demands and enterprise strategy. If you're leading a Six Sigma initiative in your organization, this hands-on guide is designed to help you achieve these results quickly and effectively by treating a Six Sigma project like any other project that must be managed and completed on time and within budget.

Written by leading Six Sigma expert Thomas Pyzdek, The Six Sigma Project Planner offers a project management approach to Six Sigma. You'll learn how to rigorously measure and analyze problems, implement solutions, and choose and complete the quality improvement projects that offer the largest payoff. Pyzdek provides dozens of reproducible, downloadable project management tools and worksheets for each step of the DMAIC process (Define-Measure-Analyze-Improve-Control). The step-by-step guidelines will help your team:

* Identify high-payoff projects to tackle
* Define project goals and estimated ROI
* Employ breakthrough techniques to develop and implement entirely new processes that meet project goals
* Correct problems in current processes
* Identify stalled projects and jumpstart them--or pull the plug before they consume too much time and resources
* Perform a process capability study using Statistical Process Control
* Establish control and continuous improvement systems

The Six Sigma Project Planner enables all team leaders to identify the "Critical Path" to successful project completion--while you stay on time and on budget.

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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

A practical, step-by-step approach to making sense out of dataMaking Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including:* Problem definitions* Data preparation* Data visualization* Data mining* Statistics* Grouping methods* Predictive modeling* Deployment issues and applicationsThroughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project.From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.
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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing)

This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM and KD). Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples – many of which are drawn from real-life applications. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered.
The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts.
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