No Data Quality Control
No Data Quality Control is the absence of structured monitoring and correction of identity and access data quality.
Definition
No Data Quality Control occurs when IAM decisions are made on identity, account, and access data without structured checks on completeness, consistency, accuracy, and freshness. This weakens lifecycle automation, role assignment, review quality, and overall trust in IAM outputs.
Why it matters
No Data Quality Control is the absence of structured monitoring and correction of identity and access data quality.
The Ariovis perspective
Ariovis does not modernize an anti-pattern by adding another tool. The first step is to understand the process, ownership and operating weakness, then simplify the target before automating it.
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