Tighten recipient-identity intake controls.
The dataset shows 50 recipients receiving substantial federal funding (≥$500K) with no recorded business number, totalling $115.2B. Some matches will be data-entry omissions; some are substantive identity questions. Both are addressable through tighter intake controls and a reconciliation pass against the federal corporate registry. The recommendation is grounded in 50 pattern-detector matches across the federal corpus. Each cited match links back to specific source rows; an auditor walking the citation can verify every dollar in the headline.
Monetary impact
Recoverable / prevention rate (0.0%) and indirect-cost rate (0.5%) are calibrated category-level defaults grounded in published auditor benchmarks. Implementation cost is a calibrated point estimate based on category complexity. Funders should refine all three with their own historical recovery data.
Risk overview
Recipient identity gaps undermine the audit trail required by the Financial Administration Act and Treasury Board reporting standards.
Master data quality is the foundation of every subsequent control; gaps here cascade into every report and forecast.
Public-facing OGP datasets with high null-BN rates draw direct criticism in open-data scorecards.
Justification & audit trail
50 cited matches · $115.2B at stake
The dataset shows 50 recipients receiving substantial federal funding (≥$500K) with no recorded business number, totalling $115.2B. Some matches will be data-entry omissions; some are substantive identity questions. Both are addressable through tighter intake controls and a reconciliation pass against the federal corporate registry. The recommendation is grounded in 50 pattern-detector matches across the federal corpus. Each cited match links back to specific source rows; an auditor walking the citation can verify every dollar in the headline.
- total_value$10.4Bsource: fed.grants_contributions
- total_value$8.2Bsource: fed.grants_contributions
- total_value$8.2Bsource: fed.grants_contributions
- total_value$8.1Bsource: fed.grants_contributions
- total_value$8.0Bsource: fed.grants_contributions
| Source | Row | Field | Value |
|---|---|---|---|
| fed.grants_contributions | Government of Ontario|Gouvernement de l'Ontario | total_value | 10,387,683,265.04 |
| fed.grants_contributions | First Nations Health Authority | total_value | 8,219,808,503 |
| fed.grants_contributions | Government of Ontario - Ministry of Health and Long-Term Care | total_value | 8,185,604,381 |
| fed.grants_contributions | Ontario | Ontario | total_value | 8,117,132,330.5 |
| fed.grants_contributions | Ministre des Finances du Québec | total_value | 8,023,801,912 |
Confidence rationale. Calibrated from 50 cited matches at attention severity. Confidence increases with match volume and severity; the snapshot pipeline rebuilds nightly.
Timeline & dependencies
- D+14Audit committee briefed
- D+45Evidence pack assembled
- D+90Decision recorded
Calibrated next steps
- 01Reconcile the no-BN recipients against the corporate / charity registry — backfill BN where it exists, flag where it doesn't.
- 02For recipients that genuinely have no BN, verify operating capacity (audited financials, employee count, physical presence) before further awards.
- 03Add a BN-required check to the funder's master record intake to prevent future no-BN entries.