Measuring the importance of data quality to causal AI success
Dynatrace
JANUARY 4, 2024
Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights.
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