Can a $3 Trillion Problem Really be Hidden?

That's the amount The Harvard Business Review (HBR) says poor quality data costs companies in the USA each year. According to a published article, HBR says much of the bad data costs come from the adjustments workers, decision makers, and managers make in their daily work to deal with data they know or believe to be wrong. The costs pile up because no one has time to fix problems at the source. Faced with deadlines, workers adjust the data in front of them well enough to complete their part of a process and send the data along to the next step. HBR calls these extra steps "The Hidden Data Factory" and point out that these processes create no added value.