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?

People, Process, and Technology

Data stewardship is not the goal – it is the enabler for your organization to get to the desired data maturity level, reduce the business and regulatory risk, and drive measurable business value. In this pivotal chapter, we’ll delve into the heart of data governance by exploring its key components: People, Process, Technology, Culture, and the Target Operating Model (TOM).

The significance of these elements extends beyond their roles as collectively, they establish a robust, comprehensive data governance strategy. As per Figure 2.2 in Chapter 2, you can see how People, Process, and Technology support the implementation of data use cases and fulfill business and data strategies. We’ll begin with People, where we will delineate the roles and responsibilities, skills, and training required, as well as stakeholder engagement. When we cover Process, we will unpack the framework, data quality management, and the crucial aspects of compliance...