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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

Overall remediation process

The overall process of remediation is typically cyclical in nature. It is usually not possible to work on all the issues uncovered by data quality reporting at the same time. The remediation is usually handled in tranches.

Our process for remediation has the following steps:

Figure 8.1 – End-to-end process of remediation

Figure 8.1 – End-to-end process of remediation

The following table provides a more detailed description of each step:

Step Name

Description

Prioritize

Identification of the most important data quality failures so that these can be targeted early.

Identify the approach

There are a number of different ways to remediate data. Here are some examples:

  • Manual record-by-record corrections
  • Collection/upload of data from a third party
  • Automatic...
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