Once discrepancies are identified, the data correction work begins. This phase demands not only accuracy but also a clear audit trail. Correction work typically follows a standard operating procedure:
Validation after correction: Each corrected entry must be re-validated to ensure no new errors were introduced. This often involves a second RC View pass.
Audit logging: Every change—who made it, when, what the old value was, and what the new value is—must be logged. This is essential for regulatory compliance and future troubleshooting. rc view and data correction work
Before starting correction work, identify the issue types:
| Issue Type | Example | Severity |
|------------|---------|----------|
| Missing data | Blank required field | High |
| Format error | Date as 2023-13-01 | High |
| Out of range | Age = 200 years | High |
| Duplicate records | Same transaction twice | Medium |
| Logic inconsistency | Start date > End date | High |
| Typographical | "New Yrok" instead of "New York" | Low |
| Compliance violation | PII in non-approved field | Critical | Once discrepancies are identified, the data correction work
After saving, check:
| Practice | Why It Matters | |----------|----------------| | Never delete original data – always keep an audit trail. | Traceability and rollback. | | Use reference data – correct based on trusted source, not guesswork. | Accuracy and compliance. | | Lock records after final approval – prevent unauthorized changes. | Data integrity. | | Perform corrections in batches – but small batches (e.g., 50–100 records). | Manageable and reversible. | | Log all corrections – even minor ones. | Audit readiness. | | Test corrections in a sandbox if possible. | Avoid propagation of errors. | Validation after correction: Each corrected entry must be
To maximize efficiency, teams should adopt a standardized workflow that integrates the RC View as a diagnostic tool and systematic correction as the remedy.
The Problem: A regional ISP used an outdated RC View of their fiber network. The Record Count showed 5,000 active splitters, but the physical count was 4,800.
The Data Correction Workflow: