Close marts
Watch the tables finance actually uses.
Team
Finance analytics
Close-week freshness and cost spikes without spreadsheet archaeology.
The problem
Close week needs numbers. The warehouse is red in five places and quiet in the one that matters.
The outcome
Fix-first queue for freshness and dbt, plus cost spike context finance can understand.
Close week
Freshness SLAs
Cost
Spike context
1 queue
What to fix first
Capabilities
dbt triage
Grouped failures before close.
Cost playbooks
Owner + next step on spikes.
Audit
Paid map credited toward Managed.
- ✓/case-studies/fintech-close-week
- ✓/vectordata/cost-spikes
- ✓/security for metadata-only posture
- ✓Try the demo
Related
For data engineering
Fix-first triage for BigQuery + dbt — without babysitting five alert channels.
Read →For analytics
Trust the marts behind your dashboards — and catch the explore that burns the budget.
Read →For founders & operators
A calm reliability net when you have one data person — or none full-time.
Read →RevOps & GTM data
Pipeline boards that are fresh before forecast meetings.
Read →