ObservabilityHigh complexity
Data Quality & Observability
Monitors freshness, volume and validity across the pipes into Braze, so a broken feed is caught before it reaches a customer, not after.
Confidence that what reaches Braze is fresh and correct, with breakages caught early.
Who it's for
Any client running live syncs and models who needs to trust the data without watching it by hand.
The engagement
What you get
- Freshness, volume and validity checks across key tables and syncs
- Alerting and an escalation runbook
- A data-health dashboard
What Fuse does
- Agree the critical tables, syncs and thresholds
- Implement checks, alerting and the dashboard
- Document the runbook and ownership
What we need from you
Data & access
- Warehouse and sync pipelines in place
Your responsibilities
- Confirm the critical data and acceptable thresholds
- Provide an alerting channel and an on-call owner
Outcomes and proof
- Broken feeds caught before they reach customers
- Trust in the models and the reporting
- Less time firefighting data issues
Assumptions
- Pipelines exist to monitor
Out of scope
- Fixing the upstream pipelines themselves