I’ve estimated that dirty and duplicate data cost the U.S. economy in excess of $3 Trillion every year, based a number of other governmental and industry expert figures. That’s a phenomenal number.
Dirty data is tolerated to a much greater extent than “buggy applications”.
The impact of bad data isn’t as immediately noticable as an Accounts Payable system that crashes – but the impact of dirty data both directly and indirectly is devastating.
Dirty data is a problem which cannot be resolved in entirety. It’s is bit of a Xeno’s Paradox.
But there are simple and inexpensive steps that organizations can do 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.