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This is what a governed analytics engagement looks like end-to-end. Select an industry to walk through real findings, board reports, and governance workflows.
Reliability Score
85
30 → 85(+55 pts)
Is our sell-through rate really 72% or is the data overstating it?
BayesIQ's audit surfaced 2 findings and enabled targeted remediation that improved the reliability score from 30 to 85.
Buying team ordered $500K+ in seasonal inventory based on 71% sell-through — actual rate is 65%, creating excess stock risk
Reported
71.1%
sell through · 2025-12
Audited
64.9%
Overstated 8.6%
Decision Exposure
Buying team ordered $500K+ in seasonal inventory based on 71% sell-through — actual rate is 65%, creating excess stock risk
128 near-duplicate rows detected (identical on all fields except key columns). This suggests duplicate ingestion or recording.
BayesIQ Data Reliability Audit
Retail
Audit Period: December 2025
Reliability Score
Good — some issues need attention
Illustrative example — representative of BayesIQ audit deliverables
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
sell_through misreported for 2025-12 (off by +8.6%)
Buying team ordered $500K+ in seasonal inventory based on 71% sell-through — actual rate is 65%, creating excess stock risk
Near-duplicate rows detected
128 duplicate transaction records inflating sell-through aggregations and distorting demand forecasts
128 rows affected
Recommended Actions
- 1
Investigate duplicate records. Add dedup logic keyed on non-key fields.
Owner: Data Engineering|Effort: Mediumhigh - 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: Smallmedium
Deliverables
Book a Retail Data Diagnostic
A focused $7,500 engagement. We audit your retail data, score your metrics, and deliver a remediation roadmap in 2 weeks.
Book a diagnosticMonthly Metric Reliability Program
Ongoing monitoring, governed corrections, and executive-ready reporting. Starting at $2,500/month.
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