Overview

This book lays out the roles everyone, up and down the organisation chart, can and must play to ensure that data is up to the demands of its use, in day-in, day-out work, decision-making, planning, and analytics. By now, everyone knows that bad data extorts an enormous toll, adding huge (though often hidden) costs, and making it more difficult to make good decisions and leverage advanced analyses. While the problems are pervasive and insidious, they are also solvable! As Tom Redman, the Data Doc explains, the secret lies in getting the right people in the right roles to get in front of the management and social issues that lead to bad data in the first place. Everyone should see himself or herself in this book. We are all both data customers and data creators -- after all, we use data created by others and create data used by others. And all of us must step up to these roles. As data customers, we must clarify our most important needs and communicate them to data creators. As data creators, we must strive to meet those needs by finding and eliminating the root causes of error. This book proposes new roles for data professionals as: embedded data managers, in helping data customers and creators complete their work, DQ team leads, in connecting customers and creators, pulling the entire program together, and training people on their new roles, data maestros, in providing deep expertise on the really tough problems, chief data architects, in establishing common data definitions, and technologists, in increasing scale and decreasing unit cost. The book introduces a new role, the data provocateur, the motive force in attacking data quality properly! This book urges everyone to unleash their inner provocateur. Finally, it crystallises what senior leaders must do if their entire organisations are to enjoy the benefits of high-quality data!

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9781634621267

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Reviews

Data quality has always been important. But now, in the growing digital economy where business transactions and customer experiences are automated and tailored, data quality is critical. This book comes just in time. Maria C. Villar, Global Vice President, SAP America, Inc. Winning, and more importantly thriving, in the digital age requires more than stating Data is a strategic corporate asset. Leaders and organizations need a plan of action to make the new vision a reality. Tom's latest book is a how-to for those seeking that reality. Bob Palermo, Vice President, Performance Excellence, Shell Unconventionals Many, if not most, companies still struggle with their data. With his latest offering, Tom Redman sets out a path they can follow to Get in Front on Data. Based on his decades of experience working with many companies and individuals, this is the most practical guide around. A must read for data professionals, and especially data provocateurs. Ken Self, President IAIDQ This book offers a unique perspective on how to think about data and address Data Quality offering practical guidance and useful instruction from the perspective of each stakeholder. The process and processes to go from business need to having the right quality data to address that need is no small task. John Nicodemo, Global Leader, Data Quality, Dun & Bradstreet Getting in Front on Data is a clearly written survival handbook for the new data-driven economy. It is a must read for the employees of any organization expecting to remain relevant and competitive. The Data Doc has an extraordinary talent for explaining key concepts with simple examples and understandable analogies making it accessible to everyone in their organization regardless of their role. John R. Talburt, Director of the Information Quality Graduate Program University of Arkansas at Little Rock

Author Information

"Tom Redman, the Data Doc, and his company, Data Quality Solutions, help leaders world-wide attack data quality head-on. Thousands benefit from his approaches and methods, which focus on getting the right people in the right roles, creating data correctly the first time, and addressing the issues that lead to bad data. Tom started his career at Bell Labs, where he conceived and led the Data Quality Lab. He was first to understand the fundamental importance of data and data quality, understand the nature of data in organizations, and give meaning to the phrase ""manage data assets."" He has a Ph.D. in Statistics and two patents. Tom and his wife Nancy live in Rumson, New Jersey, USA."

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