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The High Cost of ‘Bad’ Data: $3 Billion Annually

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Bad data impacts performance, revenue and overall efficiency, costing U.S. companies $3 billion per year and losing businesses as much as 20% of potential revenue.

Even good data can go bad, caused by changes that lead to data decay (the gradual loss of accurate data). Every hour, approximately:

  • 521 business addresses will change;
  • 872 telephone numbers will change or disconnect;
  • 1,504 URLs will be created or changed; and
  • 158 companies will change their corporate structure.

Get additional details on decaying data quality in this infographic from Data Axle.

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