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?

Preface

In an age where data is often heralded as the new oil, the role of a data steward has become increasingly critical. As organizations navigate the complexities of digital transformation, the need for a comprehensive understanding of data stewardship is more pressing than ever. This book is a response to that need—a guide that demystifies the role of data stewards, equips aspiring professionals with actionable insights, and serves as a beacon for those who wish to master the art and science of data management.

The journey of writing this book began with a simple observation: while there is a wealth of information on data science, engineering, and analytics, there is a noticeable gap when it comes to the nuanced field of data stewardship. This gap is not just academic; it reflects a real-world disconnect that organizations grapple with daily. The role of a data steward is often misunderstood, undervalued, and yet, absolutely vital to the health and success of any data-driven enterprise.

This book aims to bridge that gap by providing a comprehensive and practical guide to the world of data stewardship. It is crafted for individuals who recognize the importance of data as a strategic asset and are seeking to either step into the role of a data steward or enhance their existing data management practices.

As you turn these pages, you will embark on a journey that begins with the alignment of business strategy to data strategy and culminates in the implementation of robust data stewardship programs. You will learn not just the theory but also the practicalities of managing data effectively. Each chapter is designed to be both informative and engaging, offering real-life examples, case studies, and best practices that have been tested and proven in the field. Moreover, this book recognizes the ever-evolving nature of technology. It delves into how emerging tools such as Generative Pre-trained Transformer (GPT) models can revolutionize data governance and stewardship, providing a glimpse into the future of data management.

The preface would be incomplete without acknowledging the collective wisdom that has shaped this book. Insights from industry experts, feedback from peers, and the experiences of those on the front lines of data stewardship have all contributed to its creation. This book is a testament to the power of collaboration and the shared vision of elevating the practice of data stewardship.