BigQuery AI Integration for Analytics | Maven AGI

Stream every Maven AGI conversation into BigQuery so your data team can build the dashboards and models that drive smarter support decisions.

Maven AGI exports conversation data directly to Google BigQuery, giving your data team full access to support interactions for analytics, reporting, and machine learning. Pair Maven's AI customer experience platform with BigQuery's data warehouse to uncover trends, measure performance, and build predictive models on your support history.

What Maven AGI Does With BigQuery

Maven streams structured conversation data, including transcripts, resolution outcomes, response times, and customer metadata, into your BigQuery dataset. Your data team can query this data alongside product usage, revenue, and other business metrics to build a complete picture of how support impacts your bottom line.

Key Capabilities

Automated Data Export. Maven continuously exports conversation records, resolution statuses, and interaction metadata to BigQuery or Google Cloud Storage. No manual extraction or CSV downloads required.
Structured Conversation Data. Every conversation is broken into queryable fields: timestamps, channels, topics, resolution paths, agent actions, and customer satisfaction signals. This structure makes it easy to build dashboards in Looker, Data Studio, or any BI tool connected to BigQuery.
Cross-System Analytics. Join Maven support data with product usage, billing, and CRM data already in your warehouse. Identify which customer segments generate the most tickets, which issues correlate with churn, and where your knowledge graph has gaps.
Compliance-Ready Architecture. Data exports follow Maven's enterprise security standards, including SOC 2 Type II, HIPAA, and PCI-DSS Level 1. Sensitive fields can be masked or excluded before they reach your warehouse.
Historical Backfill. When you connect BigQuery, Maven can backfill historical conversation data so your analytics start with a complete dataset rather than from day one of the integration.

How It Works

Connect. Link your Google Cloud project and BigQuery dataset to Maven AGI. Maven validates permissions and creates the necessary table schemas automatically.
Configure. Choose which data fields to export, set refresh intervals, and define any field-level masking rules for sensitive information.
Analyze. Conversation data flows into BigQuery on your chosen schedule. Query it directly, connect your BI tools, or feed it into ML pipelines for predictive support analytics.

Common Use Cases

Build executive dashboards that track resolution rates, average handle time, and customer satisfaction trends over time.
Join support conversation data with product usage metrics to identify features that generate the most support volume.
Run cohort analyses to measure how AI-resolved tickets compare to human-resolved tickets on customer retention and satisfaction.
Feed conversation data into machine learning models that predict ticket volume, identify at-risk accounts, or recommend knowledge base improvements.
Create compliance audit trails by storing structured interaction records in your governed data warehouse.

Frequently Asked Questions

What data does Maven AGI export to BigQuery?

Maven exports structured conversation records including transcripts, timestamps, channel types, resolution outcomes, agent actions, customer metadata, and satisfaction signals. Each field is queryable in BigQuery immediately after export.

How frequently does data sync to BigQuery?

You can configure the export schedule based on your needs. Options range from near real-time streaming to scheduled batch exports. The right choice depends on your analytics latency requirements and BigQuery cost considerations.

Can we mask sensitive data before it reaches BigQuery?

Yes. Maven supports field-level masking and exclusion rules. You can redact personally identifiable information, payment details, or other sensitive fields before they leave Maven's platform, keeping your warehouse compliant with your data governance policies.

Does the integration support Google Cloud Storage as well?

Yes. Maven can export data to both BigQuery and Google Cloud Storage. Use Cloud Storage for raw file exports or archival, and BigQuery for structured, queryable analytics.

Can we backfill historical data when we first connect?

Maven supports historical backfill so your BigQuery dataset includes past conversations from before the integration was activated. This gives your analytics team a complete baseline from day one.