
What if the foundation of every critical business decision rests on a shaky pile of errors, duplicates, and disconnected information? In today’s fast-paced corporate landscape, messy data isn’t just a minor annoyance—it’s a silent saboteur, costing companies billions annually and stunting growth. A staggering report from IBM reveals that poor data quality drains U.S. businesses of $3.1 trillion each year.










