Data quality for financial services and fintech
Every figure has to survive “prove it.” DQHQ makes the proof the default.
Reference data, positions, exposures, reporting line items, model input feeds. DQHQ ships with a pack aligned to the traceability principles regulators expect, connects read-only in week one, and traces one regulatory figure from source to submission in a four to six week pilot.
Every figure in a return, a risk model or a statement has to survive “prove it.” DQHQ makes the proof the default.
Patterns we keep seeing
Reference data with three owners.
Mastered once, re-keyed in five places, reconciled by people who know which copy to believe.
Regulatory reporting on tribal lineage.
The return is right. Nobody can draw the path from ledger to submitted figure.
Model inputs nobody tests.
Drift shows up as model performance, not data alerts.
In the pack
- Glossary: reference data, positions, exposures, KYC attributes, reporting line items
- Classifications: PII, MNPI, regulated, internal
- Test library for ledgers, reference data, reporting feeds
- Lineage patterns for source-to-submitted-figure traceability
- Data product template: model input feed with SLA and quality score
- Agent context scoped by classification
Sample tests
Every counterparty in exposures exists in the master with an active LEI.
Reporting line items reconcile to the ledger before the return is generated.
Model input feeds arrive within SLA; late feeds alert before the model runs.
New unclassified columns matching a PII pattern are flagged within a day.
The pilot delivers
- One reporting or reference data domain cataloged
- Test suite with a ledger reconciliation and a freshness SLA
- One regulatory figure traced source to submission
- One dashboard the CRO or CFO can read