Data Quality for the Information Age: A Comprehensive Guide to Data Management and Quality Improvement by Thomas C. Redm

Introduction

In today's data-driven world, the difference between success and failure often hinges on the quality of information that flows through an organisation. Thomas C. Redman's Data Quality for the Information Age is a seminal work that addresses this critical challenge head-on. Written for professionals across industries, this hardbound edition from Artech House Publishers provides a comprehensive framework for understanding, measuring, and improving data quality. Whether you are a data manager, a business analyst, or a student of information systems, this book equips you with the principles and practices needed to transform raw data into a trusted strategic asset.

Book Overview

This book moves beyond technical fixes to explore the human, managerial, and process-oriented dimensions of data quality. Redman argues that poor data quality is not merely a technical problem but a business problem that affects decision-making, customer satisfaction, and operational efficiency. Through a blend of real-world case studies, actionable frameworks, and clear explanations, the author guides readers through the entire lifecycle of data quality—from identifying root causes to implementing sustainable improvement programs. The book is structured to help readers build a data quality program that aligns with organisational goals, emphasising the role of senior leadership and cross-functional collaboration.

Key Highlights

• Holistic Approach: Integrates technical, managerial, and cultural aspects of data quality.
• Practical Frameworks: Provides step-by-step methods for assessing and improving data quality.
• Case Studies: Real-world examples from manufacturing, finance, and service sectors.
• Senior Management Focus: Dedicated sections on the critical role of leadership in driving quality initiatives.
• Lifecycle Perspective: Covers data creation, usage, maintenance, and retirement.
• Dos and Don'ts: Concise, actionable guidelines for practitioners at all levels.

Inside the Book

The book is divided into logical sections that build upon each other. It begins by defining data quality and its dimensions—accuracy, completeness, consistency, timeliness, and relevance. Subsequent chapters delve into the impact of poor data quality on business processes, customer relationships, and regulatory compliance. Redman then presents a detailed methodology for diagnosing quality problems, designing solutions, and measuring progress. The latter part of the book focuses on creating a data quality program, including roles and responsibilities, training, and communication strategies. Each chapter concludes with a summary of key points and a checklist for readers to apply the concepts in their own organisations.

Key Topics

• Understanding data quality dimensions and metrics
• Analysing the costs and impacts of poor data quality
• Developing a data quality strategy aligned with business objectives
• Implementing data quality improvement projects
• Building a data quality culture within teams
• Using data quality tools and techniques effectively
• Monitoring and sustaining data quality over time

Reader Benefits

Readers will gain a clear understanding of why data quality matters and how to make it a core part of organisational practice. You will learn to identify the hidden costs of bad data and articulate a business case for improvement. The book offers practical templates and checklists that can be used immediately in your workplace. By the end, you will be equipped to lead data quality initiatives, foster collaboration between IT and business units, and establish metrics that demonstrate tangible value. Indian readers, especially those in fast-growing sectors like e-commerce, banking, and logistics, will find the principles directly applicable to local challenges such as data silos, legacy systems, and rapid digital transformation.

Learning Outcomes

• Define data quality and its key dimensions in a business context
• Assess the current state of data quality in an organisation
• Design and implement a data quality improvement plan
• Engage senior management and stakeholders in quality efforts
• Measure and communicate the ROI of data quality initiatives
• Apply lifecycle thinking to data management practices

Who Should Read

This book is essential reading for data managers, chief data officers, business analysts, IT professionals, and quality assurance teams. It is also highly relevant for students of data science, information management, and business administration who wish to understand the practical side of data governance. Entrepreneurs and small business owners managing customer data will also benefit from the accessible advice. The content is designed for readers with a basic familiarity with data concepts, but no advanced technical expertise is required.

About the Author

Thomas C. Redman is a renowned expert in data quality and data management. With decades of experience as a researcher, consultant, and author, he has helped numerous Fortune 500 companies improve their data practices. He is often called the 'Data Doctor' for his ability to diagnose and cure data quality ailments. Redman has written several influential books and articles, and his work has been widely cited in academic and industry circles. His practical, no-nonsense approach makes complex topics accessible to a broad audience.

About the Publisher

Artech House Publishers is a respected name in professional and academic publishing, specialising in books on engineering, computer science, and business technology. With a legacy of delivering high-quality, authoritative content, Artech House ensures that each title meets rigorous standards of accuracy and relevance. This hardcover edition is built to last, making it a durable addition to any professional library.

Conclusion

Data Quality for the Information Age remains a timeless resource for anyone serious about leveraging data as a strategic asset. It bridges the gap between theory and practice, offering a clear roadmap for achieving data excellence. By investing in this book, you are not just buying a reference—you are gaining a mentor that will guide you through the complexities of data quality management. Order your hardcover copy from Bookshops.in today and take the first step toward transforming your organisation's data culture.