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Practical Data Quality

You're reading from  Practical Data Quality

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781804610787
Pages 318 pages
Edition 1st Edition
Languages
Author (1):
Robert Hawker Robert Hawker
Profile icon Robert Hawker

Table of Contents (16) Chapters

Preface 1. Part 1 – Getting Started
2. Chapter 1: The Impact of Data Quality on Organizations 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

Tracking benefits

Remediation activities are very time-consuming and challenging. It is very common for data quality initiatives to be so focused on this activity that they do not manage stakeholders properly at this stage. The initiative has promised benefits in the business case stage (even if just qualitative benefits). The benefits may have been used to persuade leaders to take resources away from other work to be dedicated to remediation.

It is therefore often very important to start to show that the promised benefits have actually been delivered by the remediation. Where this is done well, you will see the following:

  • Leaders encouraging you to continue on to the next process area or data domain
  • Previously reluctant stakeholders asking for their area to be added to the roadmap
  • Increased investment in related data activities – such as analytics – because the level of confidence in data increases
  • Additional areas appointing data stewards/data...
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