Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality - Tapa dura

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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.

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“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.

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Praise for "Competing with High Quality Data"

"Without use of correct data and design principles, well functioning systems cannot be designed and created. 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

In today's data-driven world, how you handle data is perhaps even more important than how much data you have. As the volume of data being created, collected, and analyzed continues to grow at a staggering pace, increased regulation and legal responsibilities have inevitably followed." Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality "provides you with the fundamentals to successfully execute a data quality program that is both robust and flexible enough to meet your organization's needs. As a data quality professional, you must ask yourself whether you are meeting current industry standards, such as the pervasive regulatory oversight programs that include Dodd-Frank, BASEL III, and Solvency II. This book shows you how to meet these new standards, adhere to data quality best practices, and prepare for new challenges with a step-by-step approach.

Bad data can truly equate to bad business. Events as momentous and disastrous as the global financial crisis of 2007 were precipitated partially through the use of poor quality data that was analyzed to determine risk management strategies and procedures. In this context, the extreme importance of proper data management and data quality is evident. Organizations have opened their eyes to this reality and are now viewing data as a critical resource to lasting success. As a professional with a concern for data quality, you can use this book to glean some of the keys to success in this arena, even as the requirements and challenges related to data quality continue to grow. You'll learn how to build your company's data quality team and processes with a four-phased implementation strategy: Define, Assess, Improve, and Control.

With real world examples and lessons learned, this book provides a comprehensive roadmap for businesses and organizations to strive for and achieve best practices in data quality. Among other lessons, you'll learn about the effects of a poor data quality program and how quality data can help your organization maximize efficiencies and other benefits that result in process quality. "Competing with High Quality Data" will provide you with the information you need to help your organization realize the massive benefits of a well-developed data quality program.