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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

Overall, this chapter provided a comprehensive overview of the roles and responsibilities of data stewards, as well as related topics such as data quality management, data lineage, data classification, access control, data security, and data privacy and compliance.

Data stewards bridge the gap between data governance policy-making bodies and the implementation of data policies. Some of their key responsibilities include reconciling conflicting definitions, defining value domains, reporting on quality metrics, establishing data access control and security, monitoring and ensuring compliance with regulations, providing data-driven insights, and more.

In the next chapter, we will dive deeper into the stages in the data life cycle, the importance of data incident management, and the framework of data ownership. Join us as we continue to unlock the value of data in enterprise environments.

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Data Stewardship in Action
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