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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

Streamlining fund performance and reporting – case study #2

With the rapid advancement of technology and the rise of big data, asset managers face a myriad of challenges in managing, analyzing, and reporting data. The global failure rate of data management projects is approximately 50% (https://www.datascience-pm.com/project-failures), a significant statistic that has cost businesses millions of dollars in avoidable mistakes. The root of this issue lies in the outdated legacy systems prevalent in the industry that struggle to meet the evolving needs of modern businesses.

For this case, an investment firm was experiencing the following pain points, which are also common across the financial industry:

  • Complexity in data source landscape: Data coming from multiple fund administrators and internal systems in different formats and standards
  • Over-reliance on manual processes: They have to manually validate, aggregate, and visualize data with spreadsheets and PDFs (Figure...
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