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This book is a comprehensive resource designed to demystify the complex world of data governance for professionals across various sectors. This guide provides in-depth insights, methodologies, and best practices to help organizations manage their data effectively and securely. It covers essential topics such as data quality, privacy, security, and management ensuring that readers gain a holistic understanding of how to establish and maintain a robust data governance framework. Through a blend of theoretical knowledge and practical applications, this book addresses the challenges and benefits of data governance, equipping readers with the tools needed to navigate the evolving data landscape. In addition to foundational principles, this book explores real-world case studies that illustrate the tangible benefits and common pitfalls of implementing data governance. Emerging trends and technologies, including artificial intelligence, machine learning, and blockchain are also examined to prepare readers for future developments in the field. Whether you are a seasoned data management professional or new to the discipline, this book serves as an invaluable resource for mastering the intricacies of data governance and leveraging data as a strategic asset for organizational success. This resourceful guide targets data management professionals, IT managers, Compliance officers, Data Stewards, Data Owners Data Governance Managers and more. Business leaders, business executives academic researchers, students focused on computer science in data-related fields will also find this book a useful resource.
Preface
Acknowledgments
Competing Interests
Financial Interests
Non-financial Interests
Abbreviations
List of Figures
List of Tables
Overview and Importance of Data Governance
The Importance of Data Governance: Why It Matters in Today’s World
Key Principles of Data Governance: Building a Strong Foundation
Data Governance Frameworks: Models and Best Practices
Data Quality Management: Ensuring Accuracy and Reliability
Data Security and Privacy: Protecting Sensitive Information
Data Governance Policies and Standards: Development and Implementation
Roles and Responsibilities in Data Governance: Building an Effective Team
Data Governance Tools and Technologies: Navigating the Options
Data Governance in Different Industries: Case Studies and Applications
Overcoming Challenges in Data Governance: Strategies for Success
Future Trends in Data Governance: Preparing for Tomorrow
Establishing a Data Governance Culture: Change Management and Leadership
Measuring the Impact of Data Governance: Metrics and Key Performance Indicators
Legal and Regulatory Considerations in Data Governance
Data Stewardship and Ownership: Best Practices
Data Governance Maturity Models: Assessing and Enhancing Your Program
Conclusion: The Evolving Landscape of Data Governance
References