Google BigQuery

Google BigQuery is a serverless cloud data warehouse, commonly the analytics backbone for operators running on Google Cloud. For ProPay, Google BigQuery isn’t a claims system to read from, it’s a destination ProPay writes claim, parts, and payment events into. The direction runs the other way from most of ProPay’s integrations: ProPay is the source, Google BigQuery is the destination.

What ProPay writes into Google BigQuery

As ProPay works a claim, intake, triage, authorization, parts sourcing, and payment, it generates a structured record of what happened at every stage. That record is what flows into Google BigQuery: claim outcomes, cycle-time metrics, and financial events.

Every one of those events traces back to a real interaction, a homeowner’s SMS thread, a technician’s status update, a supplier’s shipping confirmation, not a manual log entry. That’s what makes the data landing in Google BigQuery usable for analysis rather than another reporting gap to fill by hand.

That includes the metrics ProPay is built to move: homeowner SMS engagement, truck rolls avoided through triage, parts procurement overspend identified against optimal routing, and cycle time from claim to payment, all landing in Google BigQuery in a form your team can query directly.

How the Google BigQuery connection works

ProPay writes into BigQuery through Google Cloud’s native ingestion patterns, landing structured events alongside your existing GCP analytics.

A Forward Deployed Engineer sets up the export format and schedule against Google BigQuery during deployment, matching whatever structure your existing reporting already expects.

What stays in Google BigQuery

Everything else already living in Google BigQuery, your other data sources, existing models, and reporting logic, is untouched. ProPay adds a new, accurate source of claims data; it doesn’t touch what’s already there.

Data handling and security

Data written into Google BigQuery comes from a company-specific ProPay instance, one client’s claim and financial data are never accessible to another before they reach Google BigQuery. ProPay is SOC 2 compliant, with both Type I and Type II audits complete.

Every underlying recommendation that produced the data landing in Google BigQuery carries a confidence level and the inputs behind it, so the data itself is auditable back to the decision that created it.

Deploying the integration

A dedicated Forward Deployed Engineer configures the export into Google BigQuery to match your schema and cadence, so it plugs into existing dashboards and models rather than requiring new tooling.

Frequently asked questions about ProPay and Google BigQuery

Does ProPay read claims from Google BigQuery?

No. Google BigQuery is a destination for ProPay’s own claim, parts, and payment data, not a source ProPay reads a claim record from.

How does ProPay connect to Google BigQuery?

ProPay writes into BigQuery through Google Cloud’s native ingestion patterns, landing structured events alongside your existing GCP analytics.

What kind of data lands in Google BigQuery?

Claim outcomes, cycle-time metrics, and financial events, structured and ready to query alongside whatever else already lives in Google BigQuery.