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Reliability Score

65

4365(+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%.

Illustrative Example

BayesIQ Data Reliability Audit

Real Estate

Audit Period: December 2025

65

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.

4 findings3 high1 medium

Key Metrics: Reported vs Audited

MetricPeriodReportedAuditedDelta
vacancy_loss2025-125.1%0.0%overstated 100%
delinquency2025-122.7%2.9%understated 8.7%

Top Findings

high

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

medium

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

high

Near-duplicate rows detected

60 duplicate property records inflating portfolio size metrics reported to LPs

60 rows affected

high

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. 1

    Investigate duplicate records. Add dedup logic keyed on non-key fields.

    Owner: Data Engineering|Effort: Mediumhigh
  2. 2

    Fix null values in required column 'tenant_id' at the source.

    Owner: Data Engineering|Effort: Mediumhigh
  3. 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. 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
Prepared by BayesIQ · 2025-12

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