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?

Understanding high-level roles and responsibilities

Imagine stepping into the shoes of Alex, a seasoned data steward, to get a glimpse of the daily whirlwind of activities that define the role. Alex’s day begins with a steaming cup of coffee and a review of the latest data quality reports. These reports, which are generated overnight, highlight any anomalies or discrepancies in the organization’s critical data elements. With an eye for detail, Alex analyzes the metrics, identifies a few potential issues, and reaches out to the relevant subject matter experts (SMEs) for their insights. Together, they determine whether these discrepancies are true errors needing correction or acceptable variances due to recent business events.

As the morning progresses, Alex turns their attention to a new project requiring the establishment of data lineage for a critical financial reporting process. Collaborating with IT specialists and report analysts, Alex meticulously documents the...