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

Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality book cover

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

Author(s): Rajesh Jugulum (Author)

  • Publisher: Wiley
  • Publication Date: 15 April 2014
  • Edition: 1st
  • Language: English
  • Print length: 304 pages
  • ISBN-10: 1118342321
  • ISBN-13: 9781118342329

Book Description

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 control
  • Methodology that produces data sets for different aspects of a business
  • Streamlined data quality assessment and issue resolution
  • A 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.

Editorial Reviews

From the Inside Flap

“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 1st Edition, 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.

From the Back Cover

“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 1st Edition, 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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