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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

The early part of this chapter outlined how to properly understand the business strategy of a business. If this element goes well and has the right support, an organization will feel that the data quality initiative truly understands the priorities of the business. This breeds confidence that the work done on data quality will be focused on the right aspects.

The chapter also outlined how to use the information from this discovery phase to properly research the root cause of challenges that impact the strategy. It also outlined how to link these challenges to processes, analytics, and data.

All of this has informed which data to profile. The chapter covered the main outputs that profiling provides and the potential data quality rules it can generate. This is likely to have revealed some surprises about data, even to those who use it every day. The maturity of the data conversation has now reached the point where data quality rules can be fully developed.

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