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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 Part 1 – Getting Started
Chapter 1: The Impact of Data Quality on Organizations Chapter 2: The Principles of Data Quality Chapter 3: The Business Case for Data Quality Chapter 4: Getting Started with a Data Quality Initiative Part 2 – Understanding and Monitoring the Data That Matters
Chapter 5: Data Discovery Chapter 6: Data Quality Rules Chapter 7: Monitoring Data Against Rules Part 3 – Improving Data Quality for the Long Term
Chapter 8: Data Quality Remediation Chapter 9: Embedding Data Quality in Organizations Chapter 10: Best Practices and Common Mistakes Index Other Books You May Enjoy

Summary

This chapter has outlined an example suite of monitoring reports for data quality. This may need to be adapted to your organization but should at least provide an accelerator for the design discussions.

The reports allow anyone in the organization who is given access to them to see an overall picture of data quality and how it is trending over time. They allow people of all different levels to drill right down to record level if they wish. They provide a clear and measurable guide to how data quality really is in the organization.

Of course, they are only as good as the rules that are input into them. Assuming the rules are of appropriate quality, the Failed Data Reports provide an actionable to-do list of data that must be remediated.

The next chapter is all about taking this actionable list and cleaning up the data. This activity will start to reap the benefits that you worked hard to identify when implementing the approach from Chapter 3.

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