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Reliability Score

81

3381(+48 pts)

Is our reported fee revenue of $1.2M accurate?

BayesIQ's audit surfaced 3 findings and enabled targeted remediation that improved the reliability score from 33 to 81.

P&L showed $299K in fee revenue — actual is $274K. $25K phantom revenue on regulatory filings constitutes a material misstatement

Reported

299,461

fee revenue · 2025-12

Audited

274,383

Overstated 8.4%

Decision Exposure

P&L showed $299K in fee revenue — actual is $274K. $25K phantom revenue on regulatory filings constitutes a material misstatement

54 near-duplicate rows detected (identical on all fields except key columns). This suggests duplicate ingestion or recording.

Illustrative Example

BayesIQ Data Reliability Audit

Fintech

Audit Period: December 2025

81

Reliability Score

Good — some issues need attention

Illustrative example — representative of BayesIQ audit deliverables

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.

3 findings2 high1 medium

Key Metrics: Reported vs Audited

MetricPeriodReportedAuditedDelta
fee_revenue2025-12299,461274,383overstated 8.4%

Top Findings

medium

fee_revenue misreported for 2025-12 (off by +8.4%)

P&L showed $299K in fee revenue — actual is $274K. $25K phantom revenue on regulatory filings constitutes a material misstatement

high

Near-duplicate rows detected

54 duplicate transaction records inflating fee calculations and distorting merchant reconciliation

54 rows affected

high

Null values in required column: merchant_id

28 transactions missing merchant_id — cannot reconcile these fees to merchants or verify compliance

28 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 'merchant_id' at the source.

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

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