Data Governance

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.

Includes practical case studies and incorporates practical case studies from a variety of industries Provides real-world examples of challenges and solutions in data governance Demystifies the complexity of data governance and covers such topics as data quality, privacy and more

Autorentext

Dimitrios Konstantinou Sargiotis, born in Trikala, Thessaly, Greece, is a distinguished academic, scientist, researcher, advisor, author, and professional with an extensive background in Information Technology, Computer Sciences, and Engineering, enhanced by his expertise in Business Management. He holds a Ph.D. in Information Technology, an MBA, a Maitrise in Computer Science, and a Licence in Applied Micro-computing and Human Sciences. With over 30 years of experience in academic and private research across multinational and multicultural settings, Dimitrios has significantly contributed to both national and international private and academic sectors. His dedication to Information Technology, digital transformation, engineering, and education solidifies his reputation as a leader in both academic and professional communities globally.

Inhalt

1.Overview of Data Governance: Definition and Scope.- 2.The Importance of Data Governance: Why it Matters in Today's World.- 3.Key Principles of Data Governance: Building a Strong Foundation.- 4.Data Governance Frameworks: Models and Best Practices.- 5.Data Quality Management: Ensuring Accuracy and Reliability.- 6.Data Security and Privacy: Protecting Sensitive Information.- 7.Data Governance Policies and Standards: Development and Implementation.- 8.Roles and Responsibilities in Data Governance: Building an Effective Team.- 9.Data Governance Tools and Technologies: Navigating the Options.- 10.Data Governance in Different Industries: Case Studies and Applications.- 11.Overcoming Challenges in Data Governance: Strategies for Success.- 12.Future Trends in Data Governance: Preparing for Tomorrow.-m 13.Establishing a Data Governance Culture: Change Management and Leadership.- 14.Measuring the Impact of Data Governance: Metrics and Key Performance Indicators.- 15.Legal and Regulatory Considerations in Data Governance.- 16.Data Stewardship and Ownership: Best Practices.- 17.Data Governance Maturity Models: Assessing and Enhancing Your Program.- 18.Conclusion: The Evolving Landscape of Data Governance.