Competing with Data Quality: Relevance and Importance in Industry

by Rajesh Jugulum

Create a competitive advantage with data qualityData 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. Authors Rajesh Jugulum and Donald H. Gray are globally-recognized as major voices in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum and Gray provide 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.

304 pages, Kindle Edition

First published January 1, 2014

Reviews

[Rob Tarling · Rating 5 out of 5]

Excellent book - easily the best I've yet read on the subject.

[Brian · Rating 5 out of 5]

Competing with High Quality Data is a comprehensive and statistical look at methodology of data warehousing and how to identify the critical data points and clean the data appropriately. It is not a technical handbook but nor is it for beginners with a heavy dose of statistical analysis thrown in. As someone who is in the data warehousing field this is an invaluable book with great insight into the strategies needed to get high quality and useful data for measurable analytics as part of an overall strategy. This book in of itself is not a comprehensive strategy for warehousing but one that focuses on how to achieve big gains for clean data and finding the right data to report on. The author is clearly brilliant and does a great job explaining each step in a clear, concise and logical way. For those interested in concepts like big data, data analytics or similar fields and have a good understanding of statistics and regression analysis this will be a great book. If you are just starting out you will want to come back to this one later.

[Shreyas Karwa · Rating 5 out of 5]

The book presents a comprehensive and uncomplicated portrayal of data quality concepts. It starts with highlighting the importance of data quality. It illustrates, with use of simple examples from various backgrounds, the importance and use of a data quality program. It explains the tools and techniques that can be used to successfully plan, build and implement a data quality program. The book addresses several frameworks that can be used to implement data quality program. A must read for professionals seeking high data quality to restrain losses.

[Grandon Gray · Rating 5 out of 5]

Dr Jugulum has published a definitive work regarding the science behind data quality management.

He also shares large-scale applied case studies which help in translating from theory into action.