BayesIQ Data Reliability Audit
Audit Period: December 2025
Good — some issues need attention
BayesIQ audits a retailer's inventory and sell-through reporting pipeline. The audit identifies 2 findings — 128 near-duplicate transaction records inflating sell-through aggregations and an 8.6% overstatement in the headline sell-through metric. The buying team had been making seasonal procurement decisions based on phantom demand. After remediation, the reliability score improves from 30 to 85.
Key metrics: reported vs audited
| Metric | Period | Reported | Audited | Delta |
|---|---|---|---|---|
| sell_through | 2025-12 | 71.1% | 64.9% | overstated 8.6% |
Top findings
- High128 rows affected
Near-duplicate rows detected
128 duplicate transaction records inflating sell-through aggregations and distorting demand forecasts
Recommended actions
- 1
Investigate duplicate records. Add dedup logic keyed on non-key fields.
Owner: Data Engineering · Effort: Medium
- 2
Investigate root cause of sell_through discrepancy for 2025-12. Check for duplicate events, missing data, or filter logic differences.
Owner: Data Engineering · Effort: Small
Prepared by BayesIQ · 2025-12