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EN
Building Trust: Poor Quality Data a Silent Enterprise Risk
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Nearshore Americas
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.
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