Data quality refers to the tools and processes that result in the creation of correct, complete and valid data that is required to support sound decision-making.

ColumnThere are many mathematical tools and levers that one can pull when comparing two pieces of data, but understanding how and when to pull those levers is the art of the procedure.
Comments (1)
BlogComments on the rekindled data quality debate between real-world alignment and fitness for the purpose of use
BlogData quality has a rotating frame of reference that can not be ignored
BlogWe often emphsize how data is supplied, but how it performs in it's consumed state is fogotten
Please note you must now log in with your email address and password.