Based on estimates and extrapolations taken from industry and government experts, I've estimated that dirty and duplicate data cost the U.S. economy in excess of $3 Trillion every year.
Dirty data is tolerated to a much greater extent than "buggy applications". The impact of bad data isn't as immediately noticable as a Payroll application that refuses to cut checks; yet the impact of dirty data directly and indirectly is staggering.
Dirty data is a problem which can never be resolved completely; yet there are some simple and inexpensive steps that every company can take to improve the situation tremendously - yet they typically fail to do so.
I've authored a "best practices" document entitled "$3 Trillion Problem: Three Best Practices for Today's Dirty Data Pandemic".
It is freely downloadable and no registration is required.
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