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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

Embedding Data Quality in Organizations

At the end of Chapter 8, we established how to go about calculating and publicizing the benefits of the work that’s done in the organization to remediate data. This chapter is about how to make those benefits sustainable in the long term. If the organization remediates the data as a “one-off exercise,” there will be benefits, but in the medium to long term, the data will return to a low state of quality.

Essentially, sustaining the benefits comes from two areas – firstly, making changes to the way that data is collected in the first place and secondly, continuing the activities outlined in Chapters 3 to 8, but on a smaller scale, in a business-as-usual context.

I will refer regularly to the term “business as usual” throughout this chapter. The term means the day-to-day operational work to keep an organization running smoothly, excluding all project and one-off activities. For example, one of the...

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