Data QualitySeptember 15, 20257 min read
Data Quality Problems That Undermine Business Decisions
Poor data quality does not announce itself. It erodes confidence slowly until leaders stop trusting their own reports. These are the most common and correctable causes.
Quiet erosion of trust
Data quality problems rarely cause a dramatic failure. Instead, they chip away at confidence until decision-makers hedge every number with a caveat.
Once trust is gone, even accurate reports lose their influence, and the organization drifts back toward intuition.
Common, correctable causes
Duplicate records, inconsistent categories, missing values, and mismatched definitions across systems account for a large share of quality issues.
Most are correctable with validation rules, standardized definitions, and monitoring that catches problems before they reach a report.