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Data Stewardship in Action

Data Stewardship in Action

By : Pui Shing Lee
4.9 (10)
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Data Stewardship in Action

Data Stewardship in Action

4.9 (10)
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)
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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?

Summary

Data stewardship principles are the backbone of a robust data governance framework. The design of an organization’s data policy should balance between safeguarding data assets and empowering the organization to leverage data optimally.

Data IM is one of the essential facets that ensures swift and effective responses to data breaches or other incidents. A well-defined process outlining roles, responsibilities, investigative steps, mitigation strategies, and stakeholder communication is crucial. Further, the implementation of data ownership is vital for efficient and effective data management. It assigns clear responsibilities, enhancing accountability and ensuring that data is used to its full potential.

However, it is important to remember that these guidelines are not universally applicable in their raw form. Every organization has unique needs, so the data policy, IM, and data ownership principles should be customized accordingly. Moreover, these principles are...

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Data Stewardship in Action
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