FEB 4, 2011 10:12am ET

Related Links

Innovative Organizations Likely to have More Pervasive BI and Data Governance
September 2, 2014
Revolutionize Your Business Intelligence with Lean, High-Performance Solutions
August 21, 2014
Should You Always Obey Orders from Your Executives?
August 7, 2014

Web Seminars

Essential Guide to Using Data Virtualization for Big Data Analytics
September 24, 2014
Integrating Relational Database Data with NoSQL Database Data
October 23, 2014

Why Isn’t Our Data Quality Worse?


In psychology, the term negativity bias is used to explain how bad evokes a stronger reaction than good in the human mind. Don’t believe that theory? Compare receiving an insult with receiving a compliment – which one do you remember more often?

Get access to this article and thousands more...

All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to:

  • Full access to information-management.com including all searchable archived content
  • Exclusive E-Newsletters delivering the latest headlines to your inbox
  • Access to White Papers, Web Seminars, and Blog Discussions
  • Discounts to upcoming conferences & events
  • Uninterrupted access to all sponsored content, and MORE!

Already Registered?


Comments (1)
Only one term comes to mind; psychobabble. We're talking about BAD data. Reminds me of the joke "it's not a bug, it's a feature". For a practical matter, in most cases the data is worse than perceived but most people just don't know it is. Interventions are required to wean the organization off their drug of choice regardless of whether it is; ignorance, apathy, naivete, of other psycho-pharmaceutical.

The reason there is some degree of data quality in organizations is incidental. It is a result of software design, database design, workarounds, manual intervention and luck! It was obviously not "data quality by design". Congratulating ourselves because of results that were inadvertent is false praise and even according to the pop- psychologists, this is bad behavior. False praise is worse than both insults or praise.

If you want to placate the audience, tell them what a great job their doing. If you want the audience to improve, tell them how to improve.

Data quality is required because of dirty, filthy, disgusting data. And those working to improve data quality are in a dirty business. It's not the kind of job for the squeamish or Pollyanna's. Join marketing if you want to practice those traits!

Posted by Richard O | Wednesday, February 09 2011 at 2:47PM ET
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
Please note you must now log in with your email address and password.