Your spreadsheets are lying to you—and it’s costing millions. Gartner found that poor data quality burns $12.9 million per year for the average business. Duplicate records, outdated information, input errors—these aren’t minor annoyances. They’re causing wrong decisions, missed opportunities, and failed strategies. Across the US economy, bad data destroys $3 trillion in value annually. Your ‘data-driven’ decisions might be data-destroyed.
The $12.9 Million Data Disaster
Bad data costs businesses an average of $12.9 million annually
Citations:
Citation by: Gartner Research.
Poor data quality costs organizations an average of $12.9 million every year.
Full StudyCitation by: Experian Data Quality.
Bad data costs U.S. businesses over $3 trillion annually, representing approximately 12% of their total revenue.
Full StudyCitation by: HolistCTM Analysis.
15–20% of organizational data consists of duplicate records, creating massive inefficiencies in decision-making.
Full StudyThe Uncomfortable Truth About Your Business
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