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System Design Masterclass · Data Governance Compliance
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IBM estimates that bad data costs the US economy $3.1 trillion per year. That is not a typo. Trillion.
Here is how it happens at a real company: A SaaS business tracks Monthly Recurring Revenue (MRR). Due to a bug in the billing integration, some annual subscriptions are counted as monthly. The dashboard shows MRR of $2.4M. The real number is $1.8M. The CEO reports $2.4M to investors. The sales team gets bonuses based on inflated numbers. Six months later, someone discovers the discrepancy. The correction is embarrassing, expensive, and erodes trust in every future report.
Gartner found that poor data quality costs organizations an average of $12.9 million per year. Not from some exotic failure mode, but from everyday issues: duplicate customer records splitting purchase history, outdated addresses causing failed deliveries, inconsistent product codes breaking inventory reports.
Data quality is not a nice-to-have. It is the foundation that every business decision rests on. If your data is wrong, your dashboards are wrong, your ML models are wrong, your financial reports are wrong, and your strategic decisions are wrong.
| Dimension | What It Measures | Example of Failure |
|---|---|---|
| Accuracy | Does the data reflect reality? | Customer's address is outdated |
| Completeness | Are all required fields populated? | 30% of user profiles missing phone number |
| Consistency | Does the same data match across systems? | User has email A in auth system, email B in billing |
| Timeliness | Is the data current enough for its use? | Dashboard shows yesterday's inventory count |
| Uniqueness | Are there duplicates? | Same customer appears 3 times with slight name variations |
| Validity | Does the data conform to expected formats/ranges? | "2026-13-45" stored as a date |
Measuring data quality: Each dimension can be quantified. Completeness = (non-null values / total values) * 100%. Uniqueness = (distinct records / total records) * 100%. Set thresholds: "Email completeness must be above 95%." Monitor continuously. Alert when thresholds are breached.
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