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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

Continuing the data quality journey

Chapter 2 showed that data quality work usually takes place through multiple iterations of a cyclical process. We have just described the final step in that process – the transition to business as usual.

The next step is to return to the beginning again (apologies to anyone who thought that they were finished!) and start to scope further data quality work in a new initiative.

This section describes how this can be approached.

Roadmap of data quality initiatives

A single data quality initiative (as described in Chapters 3 to 8) will include a range of different people – from project managers to data quality rule developers. These initiative-based resources will typically leave the organization or return to their original roles when the initiative ends. If there is only ever a need for one initiative, then this is fine, but if it is expected that many initiatives will be needed, then this adds additional cost to the next initiative...

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