According to Brian Kessler, economist at Moody’s Analytics, a three- to four-week government shutdown could cost the United States economy upwards of $55 billion. While this is by no means chump change, it is a fraction of what dirty data costs the economy each year. Our previous post on this subject cited research by Hollis Tibbets, the global director of marketing for Dell and well-respected thought leader in the software world, who estimated that dirty data costs the U.S. economy $3 Trillion per year. Yes, that’s trillion, with a t.
To show how the cost of our dirty data problem compares to the cost of a government shutdown, here is a side-by-side comparison of the two expenses.
Which problem do you think is more important?