Data Quality Rules: The Definitive Guide to Getting Started

Data Quality Rules: Have you got started yet?

If there is one technique above all others that have helped organisations I’ve been involve with take their data quality efforts to the next level it is the establishment of a data quality rules process.

In my very first organisation, back in the early nineties, we implemented a simple data quality rules policy that ensured that all data coming into the organisation was documented, validated, monitored and governed. The results were phenomenal. Our lead times tumbled and productivity went through the roof.

Data Quality Rules are a fundamental cornerstone of your data quality management roadmap, use this resource guide to help master them

Data Quality Rules are a fundamental cornerstone of your data quality management roadmap, use this resource guide to help master them

The reality is that all organisations possess data quality rules but they’re typically scattered widely (and wildly) across the organisation with no thought to standardisation, governance and re-use.

The following resources will help your organisation buck that trend and get into some solid data quality rules management habits and best-practices.

I hope you find this virtual book of resources useful and feel free to post your recommendations and tips in the comments below.


Chapter 1: Setting the Scene for Data Quality Rules

Chapter 2: Common Data Quality Rules

Chapter 3: Data Quality Rules in Context

Chapter 4: Useful Books for Learning and Applying Data Quality Rules

Image credits: cc Flickr Joe Shlabotnik

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