"Data visualization using the software aids in quality analysis, going beyond the existing quality statistical analysis. The purpose of this book is to help quality practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It initiates with basic introduction to quality analysis with Tableau including differentiating factors from other platforms. It is followed by description of features and functions of quality analysis tools followed by step-by-step instructions to use Tableau. Further, quality analysis through Tableau based on open source data is explained based on five case studies. Lastly, it systematically describes the implementation of the quality analysis through Tableau in actual workplace via a dashboard example. Features: Describes a step-by-step method of Tableau to effectively apply data visualization techniques in quality analysis. Focuses on visualization approach for practical quality analysis. Provides comprehensive coverage of quality subjects using state-of-the-art concepts and applications. Illustrates pragmatic implementation methodology and instructions applicable to real-world and business cases. Include examples of ready-to-use templates of customizable Tableau dashboards. This book aims at professionals, graduate students and senior under-graduate students in industrial systems and quality engineering, process engineering, systems engineering, quality control, quality assurance and quality analysis"--