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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

Building a prioritization matrix

Collecting data pain points from stakeholders is an essential part of the data management and governance process. This engagement with stakeholders allows organizations to pinpoint issues, challenges, and inefficiencies within the current data system.

Gathering data pain points can help to prioritize actions and resources. Not all data issues can be tackled at once, and understanding the most pressing pain points can guide an organization in prioritizing its efforts.

Here are the steps required to gather pain points about data operation from stakeholders:

  1. Engage with the business units: The most effective method to identify challenges is to encourage direct communication from multiple business units – for example, conducting questionnaires and focus group interviews. This approach will enable you to accumulate insights from diverse viewpoints, nurturing a well-rounded understanding of the data landscape.
  2. Ask your sales and marketing...
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