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. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs.
Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as:
The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today.
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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.
“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:
With a four-phase approach, Jugulum shows you how to ensure that every data quality project follows these phases to:
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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Hardcover. Condition: new. Hardcover. 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. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as: The four-phase approach to data quality controlMethodology that produces data sets for different aspects of a businessStreamlined data quality assessment and issue resolutionA structured, systematic, disciplined approach to effective data gathering The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118342329
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