Stream call logs
Send call records and events from Dialog into BigQuery tables in your Google Cloud project.
Integration · Data & Reporting
Stream call logs, outcomes and transcripts from Dialog into your own Google BigQuery warehouse, and analyse them next to your CRM and revenue data.
How it works
Keep call data in a warehouse you own instead of locked in a dialer report.
Send call records and events from Dialog into BigQuery tables in your Google Cloud project.
Combine call outcomes with CRM, sales and revenue data for analysis no single tool can show.
Where Deepgram transcription is used, store transcript output alongside the call record.
Your team decides who can query the data and how long it is kept.
Workflow
From live call to warehouse table.
Calls, outcomes and events happen in Dialog.
Records are sent to your BigQuery dataset.
Your team joins call data with business data.
Query in BigQuery or visualise in Looker Studio.
It means analysing call data, such as volumes, outcomes, durations and transcripts, inside Google BigQuery. With Dialog, call data is delivered to your own BigQuery project, so you can query it with SQL and combine it with other business data.
Call records and events, dispositions, campaign and agent context, and, where used, transcript output. The exact tables and fields are scoped with your team.
You do. The dataset sits in your Google Cloud project, under your access controls and retention policy.
Related
Other ways to connect Dialog to the systems around the call.
Tell us which systems, fields and events you need, and we will scope the workflow with your team.
Scoped with your team · API v2.2 · Webhooks