Book Image

Data Stewardship in Action

By : Pui Shing Lee
Book Image

Data Stewardship in Action

By: Pui Shing Lee

Overview of this book

In the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency. From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship. By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.
Table of Contents (18 chapters)
Free Chapter
1
Part 1:Why Data Stewardship and Why Me?
5
Part 2:How to Become a Data Steward and Shine!
12
Part 3:What Makes Data Stewardship a Sustainable Success?

Decoding data governance, management, and stewardship

Are data governance and data management different? What roles do data stewards play? You might have several questions at this point. Let’s define these terms to help you understand the key differences and relationships between them.

Data governance is the comprehensive management of the availability, usability, integrity, and security of the data employed in an enterprise. It involves establishing methods, policies, and procedures to ensure the data is well-managed throughout its life cycle.

Consider a large multinational bank. In this context, data governance involves setting up robust policies and procedures to ensure the safety and accuracy of financial data. The bank needs to establish clear rules about who can access the data, how it can be used, and how it should be secured. These rules are enforced through a combination of technologies, processes, and people. The bank also needs to ensure that its data governance...