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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

Identifying the approach to remediation

Now that the priorities are understood, it is time to work on the approach to remediating the bad data. There are a number of different approaches that can be applied and the effort involved varies hugely.

Typically, each prioritized rule can be categorized into a particular approach. Most often, only one approach will apply to each issue. Sometimes there might be the possibility to apply two or more approaches to a particular issue.

For example, if supplier email addresses are missing in the ERP system to send remittance advice details, three approaches might apply:

  1. The data might be in another system (for example, a contract management system) for 40% of the vendors who are missing the data. For these, the data would be migrated across to the ERP system in a batch.
  2. The data might be available on previous supplier invoices for a further 40% of the vendors and could be collected and keyed in.
  3. The data might have to be collected...
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