Skip to main content

Treat the cause of data quality problems, not the symptoms

·1 min

Staging layers, medallion architectures, data testing, assigning data stewards, gatekeeping application changes until reviewed by a data team.

Those are all fixing the symptoms of poor quality data.

They help you manage and work around the issues caused by it as best you can. But they don’t improve data quality.

The poor quality data comes from the source systems.

So, to treat the cause, you need to address data quality at the source.

You need to talk to your product teams and application owners, incentivise them to care about the data they are providing, and support them with the tools that allow them to easily produce better quality data.

It might not be easy! It involves talking to people.

But it’s the only way to improve the quality of your data.


Want great, practical advice on implementing data mesh, data products and data contracts?

In my weekly newsletter I share with you an original post and links to what's new and cool in the world of data mesh, data products, and data contracts.

I also include a little pun, because why not? 😅

Enter your best email here:

    (Don’t worry—I hate spam, too, and I’ll NEVER share your email address with anyone!)

    Andrew Jones
    Author
    Andrew Jones
    I build data platforms that reduce risk and drive revenue.