Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)

Executing Data Quality Projects, Second Edition provides a structured yet flexible approach for creating, improving, sustaining, and managing the quality of data and information within any organization. It combines a conceptual framework with techniques, tools, and instructions to achieve high-quality trusted data and information, which is critical for data-dependent organizations. The Ten Steps approach applies to all types of data and organizations and includes templates, examples, and practical advice for executing each step. The book also highlights the importance of data quality in today's data-driven world, with topics such as artificial intelligence, Internet of Things, security, and privacy, and its relevance to various industries.

Format: Paperback / softback
Length: 376 pages
Publication date: 21 May 2021
Publisher: Elsevier Science Publishing Co Inc

Executing Data Quality Projects, Second Edition presents a comprehensive and adaptable methodology for developing, enhancing, sustaining, and overseeing the accuracy and reliability of data and information within any organization. Extensive research indicates that data quality issues are costing businesses billions of dollars annually, with inadequate data contributing to waste, inefficiency, diminished credibility among customers and suppliers, and an organizational incapacity to make informed decisions.

However, help is at hand! This invaluable book outlines a proven Ten Step approach that seamlessly integrates a conceptual framework for understanding information quality with practical techniques, tools, and step-by-step instructions for implementing the approach effectively. The ultimate outcome is the creation of high-quality, trusted data and information, which is essential for modern data-driven organizations.

The Ten Steps approach is universally applicable to all types of data and all types of organizations, regardless of their profit-making objectives, non-profit status, government affiliation, educational background, healthcare sector, scientific research, or medical practice. This book offers an abundance of templates, detailed examples, and practical guidance for successfully executing each step. Additionally, readers are provided with insights on how to select and tailor relevant steps to address diverse situations they may encounter.

The book's well-organized layout facilitates quick reference with an easy-to-use format that highlights key concepts, definitions, important checkpoints, communication activities, best practices, and warnings. The experiences of actual clients and users of the Ten Steps methodology are showcased through real-world case studies titled "Ten Steps in Action," which are prominently featured in the sidebar.

By utilizing projects as the primary vehicle for data quality work, this book encompasses a wide range of initiatives, including focused data quality improvement projects aimed at enhancing data utilized in supply chain management. The term "project" is used broadly to encompass a variety of endeavors, ensuring that the methodology is versatile and adaptable to meet the specific needs of organizations across different industries.

In conclusion, Executing Data Quality Projects, Second Edition is a indispensable resource for professionals and organizations seeking to elevate the quality of their data and information. By following the Ten Step approach, organizations can achieve a competitive edge, improve operational efficiency, enhance customer satisfaction, and make data-driven decisions that drive success. Don't let data quality issues hold your organization back – embrace the power of high-quality data and information with this comprehensive guide.

Weight: 1036g
Dimension: 215 x 273 x 26 (mm)
ISBN-13: 9780128180150
Edition number: 2 ed