A financial institution is implementing an ETL process for regulatory reporting. What data validation and verification strategies should be prioritized?
- Data Comparison, Metadata Validation, and Data Reconciliation
- Sampling, Data Snapshot, and Pattern Matching
- Schema Mapping, Data Obfuscation, and Record Deduplication
- Statistical Analysis, Data Profiling, and Rule-Based Checks
In the context of regulatory reporting, prioritizing Statistical Analysis, Data Profiling, and Rule-Based Checks helps ensure data accuracy and compliance. Statistical analysis detects anomalies, data profiling assesses data quality, and rule-based checks enforce regulatory requirements.
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