BayesIQ Data Reliability Audit
Audit Period: December 2025
Good — some issues need attention
BayesIQ audits a fintech company's transaction fee revenue pipeline across merchant reconciliation, fee calculations, and regulatory reporting. The audit identifies 3 findings — including 54 near-duplicate transaction records, null merchant IDs breaking downstream aggregations, and an 8.4% fee revenue overstatement constituting a material misstatement. After remediation, the reliability score improves from 33 to 81.
Key metrics: reported vs audited
| Metric | Period | Reported | Audited | Delta |
|---|---|---|---|---|
| fee_revenue | 2025-12 | 299,461 | 274,383 | overstated 8.4% |
Top findings
- High54 rows affected
Near-duplicate rows detected
54 duplicate transaction records inflating fee calculations and distorting merchant reconciliation
- High28 rows affected
Null values in required column: merchant_id
28 transactions missing merchant_id — cannot reconcile these fees to merchants or verify compliance
Recommended actions
- 1
Investigate duplicate records. Add dedup logic keyed on non-key fields.
Owner: Data Engineering · Effort: Medium
- 2
Fix null values in required column 'merchant_id' at the source.
Owner: Data Engineering · Effort: Medium
- 3
Investigate root cause of fee_revenue discrepancy for 2025-12. Check for duplicate events, missing data, or filter logic differences.
Owner: Data Engineering · Effort: Small
Prepared by BayesIQ · 2025-12