Monitoring helps in identifying __________ and __________ in data management processes.
- Anomalies
- Bottlenecks
- Duplicates
- Inconsistencies
Monitoring helps in identifying anomalies and inconsistencies in data management processes. Anomalies are deviations or irregularities from the expected behavior, while inconsistencies refer to discrepancies or contradictions within the data. Detecting these issues through monitoring enables organizations to proactively address data quality issues, optimize performance by identifying bottlenecks, and ensure data integrity across systems and operations.
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