The Forrester Muse
JAN 29, 2013 10:35am ET

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Back Where We Started with Data Quality?


Joining in on the spirit of all the 2013 predictions, it seems that we shouldn't leave data quality out of the mix.

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Comments (3)
I couldn't agree more. As an industry, we spend a ton of effort making sure that hackers don't enter our computer systems because of the damage they can do, but we don't think anything of pouring dirty data into our information systems -- despite the fact that that, also, causes damage and ruins productivity. If we put up data quality firewalls, akin to security firewalls, where all information gets checked and fixed in real-time, we'd have a lot fewer problems with data quality inside or outside of the data warehouse.
Posted by Jake F | Tuesday, January 29 2013 at 10:26PM ET
"...akin to security firewalls, where all information gets checked and fixed..."

I am with you on the firewall concept. It is the "all information" point that I will pose a question on the 'V' for volume dimension of big data that this implies. Should we institute the same policies and rules for all data regardless of it's variety, velocity and variability?

Is all data created equal? Current data quality processes may not be aligned and may require adaptation to account for new data sources and conditions. Also, new processes are most likely going to be needed for this very same reason. I say yes to a holistic and managed approach. However, we cannot be complacent in continually adapting the policies, rules, and processes.

Posted by Michele G | Thursday, January 31 2013 at 3:51PM ET
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