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Data Quality as a pre-cursor to Data Governance

Do we need to have Data Quality in place (if not the tools, at least the mindset) before we attempt to address Data Governance?

Or

Is Data Quality something that needs to be handled as a part of Data Governance?

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Hi, I am a new bee to DG. To me, DQ can be a part of DG, but definitely not a pre cursor.

The two are quite frequently (if not always) joined at the hip.  The fact that you're thinking data governance likely indicates that your organization is struggling from a data quality problem and has decided the old way of addressing that problem will no longer suffice.  If you're thinking data governance just for the sake of doing something different but don't really understand the end result it will be difficult to get very far.  Make sure you identify something to focus on (data quality,in your case) so you can tie that to business impact, and it will help your program evolve more effectively.

I've seen customers have varying levels of success with both DQ apart from DG and DQ as part of DG.  DQ prior to DG helps to generate awareness and appreciation of DG.  However, having a well implemented DG program can amplify the investments in DQ and, in some cases, I've observed Data Governance protects the investment in Data Quality by make sure the organization ties DQ to business objectives.

To add to what Ivan has stated, DG protects the investment by providing a framework for doing something - in an organized fashion - with the results of DQ. That is, DG should be, at least in part, a set of policies and procedures for decision-making and prioritization.

Ivan,

I read an article about not needing to find a business case for Data Strategy in general (Link here) but I am not sure I fully agree with that. I think people who already understand the need for DG don't look for a business case, they know it already exists. It is the people they need to be brought to that mindset who think in the terms of needing a business case.

And for them, what's needed is exactly what you said -->

"DQ prior to DG helps to generate awareness and appreciation of DG".

Which is why I think maybe, DQ being a pre-cursor to DG is what is needed when you don't have a lot of buy-in.

L



Ivan said:

I've seen customers have varying levels of success with both DQ apart from DG and DQ as part of DG.  DQ prior to DG helps to generate awareness and appreciation of DG.  However, having a well implemented DG program can amplify the investments in DQ and, in some cases, I've observed Data Governance protects the investment in Data Quality by make sure the organization ties DQ to business objectives.

In my experience, data quality implemented before a data governance framework can be challenging. You will find it hard to get buy-in to allocate financial resources to remediate data quality issues when colleagues are not being held accountable for the data.

Once key officials know they are being held accountable for the quality of the data, they are far more empowered to allocate time, money and resources to measuring and fixing data issues.

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