From misreported KPIs to security breaches, weak data quality and oversight cost companies time, money and credibility. When Bad Data Looks GoodConsider what happened at a major retailer when a single data quality issue cascaded through its pricing system. It was a data quality problem that looked like a business performance issue until forensic analysis revealed the truth. According to a Gartner report, organizations lose an average of $12.9 million each year due to poor data quality. FPT LATAM’s Data Engineering team has observed a consistent pattern across enterprise implementations: organizations that successfully build data trust do more than deploy new tools.