« QR Codes: Next Generation Data Quality Challenges | Main | Rethinking Data Profiling – Data Quality BI »

July 20, 2011


Feed You can follow this conversation by subscribing to the comment feed for this post.

Adrian Bennett

I agree with you, but there is often resistance from the IT folk on this as they think it can and should just be about technology. How do you overcome this?

Mike Stiffler

Thanks for your comment. There is actually a bright side to that problem! I have often seen the reverse -- where IT doesn't want to own the issues and they won't make the investment in technology to fix data quality issues. A mature data governance program should have a good mix of data quality technology included anyway (for executing data profiling, data monitoring, standardization, cleansing, etc.). Data governance just puts formal business processes around it.
Now, to answer your question. This is where tactful conversations come into play. IT should understand that the business folks "own" the data. For example, only they understand the business rules and requirements for collecting and using the data; only they can answer questions around data standards, what metrics and measurements should be tracked, etc. Additionally, the business SMEs can provide business definitions and assist with other documentation that will help streamline development and issue resolution processes. This partnership will help minimize the time it takes IT to react to certain data (quality) issues.

For example, I have often seen fire drills where IT has to track down the data owner, a business definition or requirement, or get approvals. Having all of this up front can save hours and sometimes days when IT is on the hook for fixing an issue.

What's the old adage, an ounce of prevention is worth a pound of cure? :)

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been saved. Comments are moderated and will not appear until approved by the author. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.


Post a comment

Comments are moderated, and will not appear until the author has approved them.

Your Information

(Name is required. Email address will not be displayed with the comment.)

Data Quality Videos Data Quality Tweets Data Quality Professionals Data Quality PowerPoints

Enter your email address:

Delivered by FeedBurner

Collibra Webinar
Data Quality in CRM
Claims Infographic
List Cleansing
Claims Handling webinar
GARP webinar
Choose a Data Quality Vendor