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Data quality cannot be treated as a downstream fix. In analytics and AI workflows, poor data quality leads to unreliable insights, biased models, and operational inefficiencies. Embedding controls upstream ensures that data is continuously validated and improved before it impacts decision-making.
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Apply rules at the point of entry to ensure data is accurate, complete, and properly formatted. This includes:
- Address validation
- Standardization
- Deduplication
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