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Reliability Score
65
43 → 65(+22 pts)
Is our reported collection rate actually 95% or is the data inflating it?
BayesIQ's audit surfaced 4 findings and enabled targeted remediation that improved the reliability score from 43 to 65.
LP distributions calculated on fabricated 5.1% vacancy loss — actual vacancy is 0.0%. Investors received distributions based on false occupancy assumptions
Reported
5.1%
vacancy loss · 2025-12
Audited
0.0%
Overstated 100%
Decision Exposure
LP distributions calculated on fabricated 5.1% vacancy loss — actual vacancy is 0.0%. Investors received distributions based on false occupancy assumptions
Reported
2.7%
delinquency · 2025-12
Audited
2.9%
Understated 8.7%
Decision Exposure
Delinquency understated to investors at 2.7% — actual is 2.9%, masking $200K+ in uncollected rent
Reported vacancy_loss for 2025-12 is 5.1%, but recomputed value from raw events is 0.0%. Discrepancy of +100.0%.
BayesIQ Data Reliability Audit
Real Estate
Audit Period: December 2025
Reliability Score
Fair — significant data quality issues detected
Illustrative example — representative of BayesIQ audit deliverables
BayesIQ audits a real estate firm's portfolio performance reporting across vacancy tracking, tenant delinquency, and collection rates. The audit surfaces 4 issues — including a complete vacancy loss fabrication (reported 5.1%, actual 0.0%), null tenant IDs breaking lease-level aggregations, and 60 duplicate property records. LP distributions had been calculated on fundamentally incorrect occupancy assumptions. After remediation, the reliability score improves from 43 to 65.
Key Metrics: Reported vs Audited
| Metric | Period | Reported | Audited | Delta |
|---|---|---|---|---|
| vacancy_loss | 2025-12 | 5.1% | 0.0% | overstated 100% |
| delinquency | 2025-12 | 2.7% | 2.9% | understated 8.7% |
Top Findings
vacancy_loss misreported for 2025-12 (off by +100.0%)
LP distributions calculated on fabricated 5.1% vacancy loss — actual vacancy is 0.0%. Investors received distributions based on false occupancy assumptions
delinquency misreported for 2025-12 (off by -8.7%)
Delinquency understated to investors at 2.7% — actual is 2.9%, masking $200K+ in uncollected rent
Near-duplicate rows detected
60 duplicate property records inflating portfolio size metrics reported to LPs
60 rows affected
Null values in required column: tenant_id
32 leases missing tenant_id — cannot track delinquency or vacancy at the tenant level
32 rows affected
Recommended Actions
- 1
Investigate duplicate records. Add dedup logic keyed on non-key fields.
Owner: Data Engineering|Effort: Mediumhigh - 2
Fix null values in required column 'tenant_id' at the source.
Owner: Data Engineering|Effort: Mediumhigh - 3
Investigate root cause of vacancy_loss discrepancy for 2025-12. Check for duplicate events, missing data, or filter logic differences.
Owner: Data Engineering|Effort: Mediumhigh - 4
Investigate root cause of delinquency discrepancy for 2025-12. Check for duplicate events, missing data, or filter logic differences.
Owner: Data Engineering|Effort: Smallmedium
Deliverables
Book a Real Estate Data Diagnostic
A focused $7,500 engagement. We audit your real estate 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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