You're reading from Practical Data Quality Learn practical, real-world strategies to transform the quality of data in your organization

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781804610787

Length 318 pages

Edition 1st Edition

Concepts

Data Processing

Author (1):

Robert Hawker

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

To get the most out of this book

You should have a basic understanding of how businesses operate, including the following:

Awareness of how organizations are structured, including different departments and organizational practices
Awareness of key processes in organizations such as procure to pay or order to cash
Awareness of key systems in organizations such as ERP systems and CRM systems
Awareness of data management concepts such as master data management, data ownership, and stewardship

We have made some templates and diagrams available in the book’s GitHub repository here: https://github.com/PacktPublishing/Data-Quality-in-Practice.

The content included is as follows:

File name	Description
Chapter 1 – Data Governance versus Process Speed Diagram (Figure 1.3	A diagram used in the book that people may wish to tailor to their own presentations.
Chapter 2 – Business Case Template (Figure 2.3)	A template created for the book to show how you can provide quantitative calculations for your data quality initiative.
Chapter 2 – Typical One-Page Plan (Figure 2.1)	A one-page plan template that could be used as a starting point.
Chapter 6 – Report Hierarchy Diagram (Figure 6.2)	A diagram used to show how the various data quality dashboards relate to one another. This could be used in a presentation to generate ideas and feedback.
Data Quality Dashboards v2	Power BI reports developed to support the book in the monitoring chapter. To open this file, you will need to download Power BI Desktop from Microsoft (for free). Please note, in Power Query, the path to the source data file was removed for security reasons. Please do not apply changes (that is, use Apply Later when you open the report). If you use Apply Now, the data will disappear from the report and it will no longer be possible to explore it.
Data Quality Remediation Prioritization v	Another Power BI report – this time showing the prioritization work for the remediation chapter. The same notes apply as for Data Quality Dashboards v2 – the source file link was removed, so changes should not be applied.