Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Data Quality

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

Arrow left icon
Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804610787
Length 318 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Robert Hawker Robert Hawker
Author Profile Icon Robert Hawker
Robert Hawker
Arrow right icon
View More author details
Toc

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

Monitoring Data Against Rules

After all the hard work prioritizing and collecting data quality rules, monitoring starts to provide the desired payoff.

Monitoring is about organizing the rules you have developed into a set of reports and dashboards that help an organization take action.

Until this point, you have probably only seen your data quality rules in action against test data. This is the point where you will finally judge your data against the rules that you have established and you will see for the first time where the gaps are.

This can bring up conflicted feelings. As a data quality professional, you are hoping that there will be gaps in the data identified by the rules. If you do all this hard work and then find there are few or only inconsequential gaps, then you will have some explaining to do (this has never happened in all my experience!). However, if you are invested in the organization, seeing these gaps can be quite worrying. What is important to remember...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime