What kills data quality—and how do we fix it?

Data & Analytics
Written By Shayne Adler

Poor definitions, stale data, duplicates, and weak lineage. Bias and sampling errors skew models. Fix the basics: assign data owners, define business terms, set validation rules, standardize IDs, and implement MDM where needed. Monitor quality with automated tests and scorecards; route issues like tickets.

Checklist

  1. Publish a business glossary.

  2. Set freshness SLAs per table.

  3. Standardize keys and dedupe.

  4. Add lineage and quality tests.

  5. Create a data issue queue.

Shayne Adler
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