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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

Data Discovery

Regularly in my data quality career, customers and stakeholders have told me that they know their data "inside out". However, from my experience, the application of data profiling will surprise even these stakeholders. For example, at one organization, the procure to pay process owner assured me that no suppliers were on “pay immediately” terms (meaning that invoices would be paid as soon as they were issued). Data profiling revealed that in fact, 40 suppliers were set to these terms, with a total spend of several million dollars being paid immediately instead of accruing interest for the organization.

Data profiling helps to identify the data quality rules that organizations would like their data to comply with by pointing out the “extremities” of the data. Often, these extremities are examples of something that has gone wrong with the data and needs to be corrected.

To detect these extremities, a tool typically evaluates...

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