Data Stewardship in Action: A roadmap to data value realization and measurable business outcomes (Paperback or Softback)

Key Features

• Develop the mindset and skills essential for successful data stewardship
• Apply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardship
• Follow a step-by-step program to develop a data operating model and implement data stewardship effectively
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Enhance your job prospects by understanding the data stewardship field, roles, and responsibilities
• Discover how to develop a data strategy and translate it into a functional data operating model
• Develop an effective and efficient data stewardship program
• Gain practical experience of establishing a data stewardship initiative
• Implement purposeful governance with measurable ROI
• Prioritize data use cases with the value and effort matrix

Who this book is for

This book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.

Table of Contents

1. From Business Strategy to Data Strategy to Data Stewardship
2. How Data Stewardship can help your organization
3. Getting Started with the Data Stewardship Program
4. Developing a Comprehensive Data Management Strategy
5. People, Process, Technology
6. Establishing a Data Governance Organization
7. Data Steward Roles and Responsibilities
8. Effective Data Stewardship
9. Supercharge Data Governance and Stewardship with GPT
10. Data Stewardship Best Practices
11. Theory versus Real Life
12. Case Studies

Pui Shing Lee is a visionary leader with two decades' experience in FinTech, Data, AI, and Cloud across Europe, the US, and APAC. He is a Cloud Solution Strategist (Data & AI) at Microsoft. With a passion for deriving actionable insights from data, he provides comprehensive solutions for customers' journeys, ensuring tangible business outcomes. Shing holds industry-leading certifications like DAMA CDMP and EDMC CDMC V1. His professional experience includes roles as Chief Data Officer at Hang Seng Index, Head of Data Governance at HKEX, and APAC Director at IHS Markit. As the co-founder of the Data Literacy Association, Shing advocates for a culture-fit data strategy, self-service models, and automated governance on robust cloud platforms.