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Practical Data Quality

You're reading from   Practical Data Quality Learn practical, real-world strategies to transform the quality of data in your organization

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804610787
Length 318 pages
Edition 1st Edition
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Author (1):
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Robert Hawker Robert Hawker
Author Profile Icon Robert Hawker
Robert Hawker
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Table of Contents (16) Chapters Close

Preface 1. Part 1 – Getting Started
2. Chapter 1: The Impact of Data Quality on Organizations FREE CHAPTER 3. Chapter 2: The Principles of Data Quality 4. Chapter 3: The Business Case for Data Quality 5. Chapter 4: Getting Started with a Data Quality Initiative 6. Part 2 – Understanding and Monitoring the Data That Matters
7. Chapter 5: Data Discovery 8. Chapter 6: Data Quality Rules 9. Chapter 7: Monitoring Data Against Rules 10. Part 3 – Improving Data Quality for the Long Term
11. Chapter 8: Data Quality Remediation 12. Chapter 9: Embedding Data Quality in Organizations 13. Chapter 10: Best Practices and Common Mistakes 14. Index 15. Other Books You May Enjoy

Best practices

The difficulty of this section is in selecting the most useful best practices to highlight. To select the best practices for this chapter, criteria were created, and each best practice was scored against these criteria.

Selecting the best practices

The criteria were as follows:

  • Level of impact: How significantly the best practice could influence the success or failure of the initiative. Best practices scoring highly were essential, with the initiative risking failure if they were not implemented.
  • Tangibility: How easily the best practice can be translated immediately into action. Best practices scoring highly could be introduced without delay or preparation.
  • Duplication: This factor was about assessing which best practices had already been covered in previous chapters. Best practices scoring highly would have only been mentioned in passing in previous chapters, or not yet mentioned at all.
  • Quality of available examples: This is linked to how...
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