Protect the numbers finance trusts
Watch the tables behind ARR, balances, and risk dashboards with explicit freshness thresholds.
Industry
Fintech & financial services
Calm BigQuery + dbt reliability when ledger and risk numbers cannot be wrong quietly.
The problem
Fintech teams ship fast on BigQuery marts for risk, ledger, and growth KPIs. A stale table or failed dbt model does not look broken in the BI tool — until a regulator, auditor, or board asks.
The outcome
VectorData watches the marts that feed financial KPIs, surfaces dbt failures before Monday ops, and flags cost spikes from exploratory scans — metadata only.
KPI tables
Freshness SLAs on ledger & risk marts
dbt health
Failed models before ops review
Cost guard
Rogue scans vs budget baselines
Capabilities
dbt as the control plane
Failed models and tests that sit under financial marts show up in one Fix-first queue.
Warehouse spend visibility
Catch unusually expensive BigQuery jobs before the invoice surprises finance.
Security posture that fits
Service-account metadata access — rows never leave your project for Vectornosis.
- ✓Same live product as freshness, dbt failures, and cost spikes
- ✓Customer logos and case studies publish as founding teams go public
- ✓Flat plans from $99/mo for small data teams
- ✓Optional paid Data Stack Health Audit credited toward Managed
Related
Ecommerce & retail
Know when orders, inventory, and attribution marts go quiet — before merchandising acts on yesterday.
Read →B2B SaaS
Product analytics and revenue marts that stay trustworthy as the warehouse grows.
Read →Marketplaces
Supply, demand, and payouts marts stay trustworthy when freshness is watched.
Read →Agencies & multi-client data
Client BigQuery projects stay fresh and cost-aware — without a custom stack per account.
Read →