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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

Summary

Remediation has always been one of the most challenging parts of a data quality initiative. It can be incredibly difficult to get sufficient resources to make meaningful changes to data quality scores in a reasonably short period of time. This chapter has outlined how to ensure that the resources allocated are working on what the organization believes are the key priorities and that the approach taken is the most effective possible.

This chapter has outlined how to show stakeholders the progress being made and how to tie progress to the benefits that were agreed upon in the business case chapter.

With successful remediation, you will be asked to continue your data quality initiative into previously unsupportive business areas and deliver even more benefits.

To sustain business benefits, it is critical to make permanent changes to the way the organization manages its data and to embed further data quality improvement into the fabric of its business processes. The next...

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