dimanche 1 février 2009

2.2 The importance of data quality

“This part needs additional information and improvements and is then not finished
As I mentioned it there are two levels of data quality:
· Poor quality one: for example you and I are looking for information
whatever it is in order to get a quick answer or even a mere comment. Here
two theories are facing each other:
▪ An information should be given even if it is possibly wrong. It of
course can be useless if the information is a hoax but will it be in the
case of a warning of a terrorist attack?
▪ An information should be given only if it is 100% accurate. Here it is
interesting in order to not create polemical situations for nothing.
There are no rational choice to make here, sometimes you need to use the first
theory and sometimes the other one.
I would describe poor quality data as mass consumption information which
mean good enough for “lambda” people but not that useful for businesses and even
less for researchers. With the increasing of Internet users more and more mass
consumption data are created and of course their number is bypassing the one of
quality ones.
· High quality one: here we find the data which fits the four criteria I
described above. High quality data are useful in order to take complex and
rational decisions.

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