How does Kondado replicate Hi Platform data to BigQuery?

Kondado uses a direct integration to extract data from your Hi Platform account and load it into your BigQuery dataset automatically. You authenticate your Hi Platform credentials once, select the Tickets pipeline, and the platform handles the replication on your chosen schedule without requiring manual exports or API coding.

What Hi Platform data is available to replicate to BigQuery?

The Tickets pipeline contains 220 fields covering ticket IDs, account associations, status changes, and complete interaction histories with timestamps like created_at and resolved_at. This includes all metadata about customer conversations, priority levels, and resolution details needed for comprehensive support analytics.

How frequently can I update Hi Platform data in BigQuery?

You can configure replication intervals ranging from every 5 minutes to daily updates, depending on your analytics requirements and data freshness needs. This automated scheduling ensures your BigQuery dataset reflects recent support activity without manual intervention or complex orchestration setup.

What format does Hi Platform data take when stored in BigQuery?

Hi Platform data lands in BigQuery as structured datasets with preserved data types, where each field from the Tickets pipeline becomes a column in your warehouse. The schema maintains relationships between tickets, accounts, and interactions, allowing you to write SQL queries that join this data with information from PostgreSQL or other connected sources.

Can I combine Hi Platform tickets with sales data in BigQuery?

Yes, once your Hi Platform data resides in BigQuery, you can join the Tickets pipeline with data from MySQL, Redshift, or SQL Server to correlate support issues with revenue metrics or customer lifetime value. This cross-source analysis helps identify which product areas generate support tickets and how resolution times impact customer retention.

Do I need coding skills to send Hi Platform data to BigQuery?

No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your Hi Platform account and configuring your BigQuery destination. The platform manages the schema creation and data type mapping automatically, though SQL knowledge helps when querying the replicated data for reports.

What analytics can I build with Hi Platform data in BigQuery?

You can calculate key support metrics like first response time, resolution rates by agent, and ticket volume trends, then visualize results in Looker Studio or Power BI . Many teams also build automated alerts that trigger when ticket queues exceed thresholds or when specific customer segments submit urgent requests.

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Send Hi Platform Data to BigQuery

Kondado provides a direct integration between Hi Platform and BigQuery, allowing you to replicate your customer service data without writing code. Simply connect your Hi Platform account as a data source, configure your BigQuery destination, and select which pipelines you want to replicate. The platform handles the data transfer automatically on your chosen schedule, ensuring your analytics environment stays current with fresh ticket information, interaction histories, and resolution timestamps directly from your CRM operations.

Kondado automatically replicates Hi Platform data to BigQuery on a configurable schedule, supporting intervals from every 5 minutes to daily updates, with the Tickets pipeline containing 220 fields including interaction logs, status changes, and resolution metrics.

Once your data arrives in BigQuery, you can combine Hi Platform tickets with other business data to build comprehensive customer experience reports. This enables support teams and analysts to track resolution times, agent performance, and ticket trends using SQL queries or connected business intelligence tools like Power BI or Looker Studio. The centralized data warehouse approach eliminates manual exports while maintaining data integrity for accurate reporting.

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Available Hi Platform Pipelines for BigQuery

The Hi Platform data source currently offers the Tickets pipeline, which captures comprehensive customer service interactions with 220 distinct fields. This includes core ticket attributes like status and priority, alongside detailed interaction logs showing when tickets were created, updated, and resolved. In BigQuery, this data enables you to calculate average resolution times, identify escalation patterns, and analyze agent workload distribution across your support organization.

You can join this Hi Platform data with information from other sources such as PostgreSQL or MySQL to correlate support tickets with sales records or product usage metrics. This unified view in BigQuery allows marketing and support teams to identify which customer segments generate the most tickets, track satisfaction trends over time, and build automated workflows that trigger when specific ticket conditions are met.

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Hi Platform data available for BigQuery

available pipeline

220

extractable fields

Available integrations

Integration	Description
Tickets	Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at.

Tickets

Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at.

See all available data →

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How to send Hi Platform data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Hi Platform Account

Authenticate your Hi Platform credentials in Kondado to establish the data source connection. The platform will detect available pipelines including the Tickets dataset with 220 fields.

Configure BigQuery Destination

Set up your BigQuery project and dataset details to receive the replicated Hi Platform data. Kondado automatically creates the appropriate schema structure for the Tickets pipeline in your Google Cloud environment.

Select Data and Schedule

Choose the Tickets pipeline and set your preferred replication frequency, from every 5 minutes to daily intervals. Once activated, Kondado begins automated replication of your Hi Platform data according to the schedule you specified.

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