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?

To get the most out of this book

We assume you have a basic understanding of data life cycle and process flow management in the context of enterprises. You should also be familiar with the basic data and cloud technology for data ingestion, transformation, and storage. Ideally, you should have experience in fostering a new working culture for an organization and a strong interest in extracting the utmost value from raw data.

To fully engage with the practical elements of this book, especially in chapters discussing the integration of AI in data stewardship, you may need to set up an OpenAI/Azure OpenAI account for access to GPT models.

Additionally, while not mandatory, registering with professional bodies such as the EDM Council (EDMC) or DAMA International could enhance your understanding and provide valuable resources aligned with the advanced topics covered in this book. These platforms offer a wealth of knowledge and community support that can complement your learning journey.