Data Governance

Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program, Third Edition, is for any student, executive, manager, or data professional who needs to understand and implement a data governance program, to ensure consistent, accurate and reliable data across their organization. The problem of managing data continues to grow with issues surrounding the cost of storage, exponential growth, as well as administrative, management, and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. John Ladley guides readers though the detailed process of developing a Data Governance program, including an introduction to the concepts and principles of Data Governance, Data literacy concepts, business case, strategy, systems architecture and design, the importance of team engagement, implementation, and change management. The Third Edition includes all-new coverage embracing new data capabilities such as ethics and AI integration, as well as key regulatory changes. Data governance is now inevitable, and no longer an option. John Ladley examines the impact of society on data and the relevance for organizations to simply “do better.” The Third Edition updates coverage on data governance tools to achieve delivery of necessary capabilities. This valuable resource provides foundational understanding to advanced students in Data Management and related courses, as well as comprehensive guidance for beginning professionals, managers or analysts looking to improve their processes. With the provided framework and case studies, all students and professionals in the data governance field will gain key insights into launching successful and money-saving data governance programs.

• Incorporates industry changes, lessons learned, and new approaches
• Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional
• Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities
• Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy, and data literacy
• Content Transformation Elements (Helpful Hints, Essential Questions, Case Studies, Key Concepts, Definitions, Something to Think About, and Key Points) are designed to help students understand important aspects of Data Governance and lead them to Foundational learning throughout each chapter of the text