What is Data Completeness? Definition, Examples, and KPIs
Monte Carlo
JULY 10, 2023
Data can go missing for nearly endless reasons, but here are a few of the most common challenges around data completeness: Inadequate data collection processes Data collection and data ingestion can cause data completion issues when collection procedures aren’t standardized, requirements aren’t clearly defined, and fields are incomplete or missing.
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