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Informationen zum Autor DR. RAJESH JUGULUM , Ph.D., is a Data Quality and Analytics Professional. Rajesh held executive positions in these fields at Citi Group and Bank of America. Before joining financial industry, Rajesh was with MIT where he was involved in research and teaching. Currently, he teaches at Northeastern University in Boston. His honors include 2002 American Society for Quality's Feigenbaum medal and 2006 International Technology Institute's Rockwell medal. Klappentext "In this book by Dr. Jugulum, readers will learn how data can be systematically collected and deduced. Recommend it highly." --Nam P Suh, Former President of Korea Advanced Institute of Science and Technology, Ralph E & Eloise F. Cross Professor Emeritus at MIT "It is common sense that without quality data there cannot be quality decisions . . . Rajesh does an excellent job of explaining step by step how to develop a data quality program and implement it." --Desh Deshpande, Entrepreneur, Life member MIT Corporation, Co-chair National Council for Innovation and Entrepreneurship QUALITY DATA MEANS QUALITY BUSINESS All over the world, organizations are under scrutiny for how they manage and handle the massive volumes of data that they collect and store. You can get ahead today with Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality , a comprehensive guide for professionals concerned with data quality issues and programs. In Competing with High Quality Data , Rajesh Jugulum takes you through the steps you can follow to vault your company to the next level of operational efficiency through data quality management. The book explains: The data quality program and its four-phase approach: Define, Assess, Improve, and Control How data quality can increase efficiencies and maximize organizational benefits The effects of a poor or non-existent data quality program Why data quality must be integrated with process quality The importance of building an enterprise-wide data quality practices center With a four-phase approach, Jugulum shows you how to ensure that every data quality project follows these phases to: Reduce costs Reduce manual processing or rework Improve reporting Enhance revenue opportunities Prepare your company for the future of increased competition and enhanced regulation that demands quality data. With Competing with High Quality Data , get your data quality program in order before, rather than after, you make decisions that could affect the future of your organization. Zusammenfassung Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry! but low-quality data can actually put a company at a disadvantage. To be used effectively! data must accurately reflect the real-world scenario it represents! and it must be in a form that is usable and accessible. Inhaltsverzeichnis Foreword xiii Prelude xv Preface xvii Acknowledgments xix 1 The Importance of Data Quality 1 1.0 Introduction 1 1.1 Understanding the Implications of Data Quality 1 1.2 The Data Management Function 4 1.3 The Solution Strategy 6 1.4 Guide to This Book 6 Section I Building a Data Quality Program 2 The Data Quality Operating Model 13 2.0 Introduction 13 2.1 Data Quality Foundational Capabilities 13 2.1.1 Program Strategy and Governance 14 2.1.2 Skilled Data Quality Resources 14 2.1.3 Technology Infrastructure and Metadata 15 2.1.4 Data Profi ling and Analytics 15 2.1.5 Data Integration 15 2.1.6 Data Assessment 16 2.1.7 Issues Resolution (IR) 16 2.1.8 Data Quality Monitoring and Control 16 ...
