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Data Stewardship in Action

You're reading from   Data Stewardship in Action A roadmap to data value realization and measurable business outcomes

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781837636594
Length 272 pages
Edition 1st Edition
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Author (1):
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Pui Shing Lee Pui Shing Lee
Author Profile Icon Pui Shing Lee
Pui Shing Lee
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Why Data Stewardship and Why Me? FREE CHAPTER
2. Chapter 1: From Business Strategy to Data Strategy to Data Stewardship 3. Chapter 2: How Data Stewardship Can Help Your Organization 4. Chapter 3: Getting Started with the Data Stewardship Program 5. Part 2:How to Become a Data Steward and Shine!
6. Chapter 4: Developing a Comprehensive Data Management Strategy 7. Chapter 5: People, Process, and Technology 8. Chapter 6: Establishing a Data Governance Organization 9. Chapter 7: Data Steward Roles and Responsibilities 10. Chapter 8: Effective Data Stewardship 11. Chapter 9: Supercharge Data Governance and Stewardship with GPT 12. Part 3:What Makes Data Stewardship a Sustainable Success?
13. Chapter 10: Data Stewardship Best Practices 14. Chapter 11: Theory versus Real Life 15. Chapter 12: Case Studies 16. Index 17. Other Books You May Enjoy

Optimizing your data journey with strategic technological integration

In the quest to fast-track your data journey, the intersection of data integration and the seamless interoperability of systems play a crucial role. As the enterprise landscape becomes increasingly complex with a mix of legacy and modern systems, the ability to effectively integrate and facilitate communication between disparate data sources is paramount. Interoperability, in the context of data stewardship, refers to the ability of different systems and applications to communicate, exchange, and make use of information. It is a key component in the data journey as it ensures that data flows seamlessly across different platforms, enhancing the value of the data by making it accessible and usable in various contexts.

This section will shed light on the best practices that ensure a cohesive data ecosystem, where the old and the new not only coexist but also complement and enhance each other’s capabilities...

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