Measuring the importance of data quality to causal AI success
Dynatrace
JANUARY 4, 2024
It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Fragmented and siloed data storage can create inconsistencies and redundancies.
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