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

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Fast Decisions Trump Perfect Data

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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?

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Comments (4)
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
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