$3 Trillion Problem: Three Best Practices for Today's Dirty Data Pandemic

In survey after survey, about half of IT executives consistently agree that data quality and data consistency is one of the biggest roadblocks to them getting full value from their data. This has been consistently true all since the Chinese invented the abacus. I suspect it will be true long after quantum computing has solved every other problem that humanity faces.

Incorrect, inconsistent, fraudulent and redundant data cost the U.S. economy over $3 Trillion a year - an astounding figure that is over twice the amount of the 2011 Federal Deficit. Similarly, many experts estimate that HALF the money spent on developers goes towards "software repair". So we're living in a world of sick software and dirty data. And the cost of all this is staggering...