The Forrester Muse
SEP 20, 2012 8:41am ET

Related Links

The Science and Art of Customer Matching for MDM
April 8, 2014
Clinton: Bring Back Evidence-Based Debates With Good Data
February 27, 2014
4 Tips for Defining Your Approach to Big Data
February 21, 2014

Web Seminars

April 29: Create a data protection strategy with open, software-defined storage
April 29, 2014
New Best Practices To Manage Customer Information
May 7, 2014
May 13: Cost-effective, scale-out backup in 1 solution
May 13, 2014

Fast Decisions Trump Perfect Data


When you last pulled up a chair to this blog we talked about data quality persistence and disposability for big data. The other side of the coin is, should you even do big data quality at all?

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 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 (4)
The title "Fast Decisions Trumps Data Quality" caught my eye because if you look at the decision process...especially a fast one...the quality of the decision is dependent on the quality of the data used to make the decision. Let's take what is generally considered the best model for making fast decisions - The OODA Loop, which stands for Observe, Orient, Decide and Act. This decision model was initially created for air force fighter pilots, who often have to make split second, life and death decisions. Although, in recent decades it has been adapted to many realms from business to even motorcycle riding.

Orientation is generally considered the most important mode. The Decision that emanates from it is wholly dependent on the quality of the data gathered during the Observe mode. If you buy this, then I guess it is possible to argue the reverse. The quality of data drives a quality decision.

In the end it is true that you can make a any speed...but the quality of it depends on the quality of the data, which when combined with the pilot's knowledge and judgement about his/her surroundings during Orientation dictates his/her Action and the ultimate outcome. For a fighter pilot, that means precisely nailing the target or killing off a wedding party in some village near the target.

I can't help but consider what my supervisor said to me in my first "professional" job as a research assistant in a lab at Children's Hospital in Boston: "Don't worry. If you make a mistake, no one dies." Now across the street in the main hospital where the care is provided, that was very much not the case. I think your premise is true within spheres, such as most business settings where no one immediately can die and there is time to recover from a poor decision resulting from poor data.

Posted by Peter P | Monday, September 24 2012 at 2:40PM ET
Excellent series and very thought provoking. Thank you for your insights, Michele!
Posted by Jeffrey T | Thursday, September 27 2012 at 2:57AM ET
Peter, Your operational perspectives are great examples of risk due to the use of the data. But, I would still pose that the business still defines what risk they are willing to take. Precision has been the name of the game on quality in the past. The question still is, are there times when 2+2 can = 3.8 and not 4? Estimates are still viable options under the right conditions.
Posted by Michele G | Friday, September 28 2012 at 2:39PM ET
Jeffrey, Glad you are enjoying. Got one more coming in the series, stay tuned and let me know your thoughts.
Posted by Michele G | Friday, September 28 2012 at 2:40PM 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.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

Yes 61%
No 23%
Don't Know 9%
Not Applicable 6%


Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
Please note you must now log in with your email address and password.