Robust Quality: Powerful Integration of Data Science and Process Engineering by

Description: Robust Quality by Rajesh Jugulum This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution Author Biography Rajesh Jugulum, PhD, is the Informatics Director at Cigna. Prior to joining Cigna, he held executive positions in the areas of process engineering and data science at Citi Group and Bank of America. Rajesh completed his PhD under the guidance of Dr. Genichi Taguchi. Before joining the financial industry, Rajesh was at Massachusetts Institute of Technology where he was involved in research and teaching. He currently teaches at Northeastern University in Boston. Rajesh is the author/co-author of several papers and four books including books on data quality and design for Six Sigma. Rajesh is an American Society for Quality (ASQ) Fellow and his other honors include ASQs Feigenbaum medal and International Technology Institutes Rockwell medal. Rajesh has delivered talks as the keynote speaker at several conferences, symposiums, and events related to data analytics and process engineering. He has also delivered lectures in several universities/companies across the globe and participated as a judge in data-related competitions. Table of Contents Chapter 1 The Importance of Data Quality and Process Quality Chapter 2 Data Science and Process Engineering Concepts Chapter 3 Building Data and Process Strategy and Metrics Management Chapter 4 Robust Quality—An Integrated Approach for Ensuring Overall Quality Chapter 5 Robust Quality for Analytics Chapter 6 Case Studies Appendix I: Control Chart Equations and Selection Approach Appendix II: Orthogonal Arrays Appendix III: Mean Square Deviation (MSD), Signal-to-Noise Ratio (SNR), and Robust Quality Index (RQI) Details ISBN1498781659 Author Rajesh Jugulum Publisher Taylor & Francis Inc Series Continuous Improvement Series Year 2018 ISBN-10 1498781659 ISBN-13 9781498781657 Format Hardcover Pages 124 Subtitle Powerful Integration of Data Science and Process Engineering Country of Publication United States Illustrations 37 Tables, black and white; 74 Illustrations, black and white Affiliation Director, Global Data Strategies, Cigna DEWEY 658.5 Short Title Robust Quality Language English AU Release Date 2018-08-08 NZ Release Date 2018-08-08 US Release Date 2018-08-08 UK Release Date 2018-08-08 Publication Date 2018-08-08 Alternative 9780367780975 Audience Professional & Vocational Imprint CRC Press Inc Place of Publication Bosa Roca We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:135086766;

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