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Most data quality issues occur at the source. Addressing problems during ingestion as opposed to downstream avoids having:
- Pipelines breakage, leading to “data downtime” and fire-fighting.
- Incorrect data landing in your warehouse, lake or search system, where numerous find/fix jobs must be built and maintained.
- Erroneous data goes undetected for days or weeks, and leads to analytics failures – decisions or actions that hurt the business
