How do I replicate SenseData data to BigQuery without writing code?

Kondado provides a no-code interface where you authenticate your SenseData account and select the Clients pipeline. The platform handles the schema mapping and data transfer automatically, delivering your customer data directly to BigQuery datasets on your chosen schedule.

What specific client information from SenseData gets stored in BigQuery?

The Clients pipeline replicates 159 fields including corporate identifiers like CNPJ, geographic data such as city, and operational details like client stage and registration dates. This comprehensive dataset enables detailed customer success analysis within your warehouse.

How frequently can I update SenseData data in my BigQuery warehouse?

You can configure replication schedules ranging from every 5 minutes to daily updates, allowing you to balance data freshness with processing requirements. This near-real-time capability ensures your customer success reports reflect current client statuses.

Can I combine SenseData client data with other platforms in BigQuery?

Yes, once your SenseData data resides in BigQuery, you can join it with information from additional sources connected through Kondado. This enables unified analysis across your entire customer data ecosystem using standard SQL queries alongside visualization tools like Power BI .

What data format does SenseData use when stored in BigQuery?

SenseData fields map to standard BigQuery data types, with client attributes like CNPJ and city stored as strings, dates as timestamps, and status fields as structured data. This standardized formatting allows immediate querying through BigQuery SQL without transformation.

Do I need technical expertise to maintain the SenseData to BigQuery connection?

Once configured, the pipeline operates automatically on your chosen schedule without requiring ongoing maintenance or API management. Kondado handles schema updates and data validation, allowing analysts to focus on building reports in Looker Studio rather than pipeline management.

How many pipelines are available when connecting SenseData to BigQuery?

Currently, Kondado offers one pipeline for SenseData replication: the Clients pipeline containing 159 fields. This pipeline provides comprehensive customer information including registration details, geographic data, and client lifecycle stages.

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Connect SenseData to BigQuery Pipelines

Kondado provides a direct integration between SenseData and BigQuery, enabling you to replicate your customer success data without writing code. Simply authenticate your SenseData account, select the available pipelines, and configure your destination warehouse. The platform handles the data transfer on a configurable schedule, ensuring your BigQuery datasets stay current for analysis and reporting.

Kondado automatically replicates SenseData client data, including 159 fields such as CNPJ, city, registration dates, and client stages, directly to BigQuery on schedules ranging from every 5 minutes to daily, enabling automated customer success analytics without manual exports.

With your SenseData information flowing into BigQuery, you can combine customer success metrics with other business data sources to build comprehensive reports in Looker Studio or Power BI. This automated pipeline eliminates the need for manual CSV exports and allows your team to focus on deriving insights rather than data preparation. Analysts can query consolidated customer records using standard SQL to identify trends in client acquisition and retention.

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Available Pipelines

The Clients pipeline brings comprehensive customer information into BigQuery, including corporate identifiers like CNPJ alongside demographic details such as city and registration dates. By having this data available in your warehouse, you can segment your audience by geographic region or analyze client stage progression to identify bottlenecks in your onboarding process. The 159 available fields enable granular analysis of customer attributes, supporting cohort analysis and retention modeling directly within BigQuery.

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SenseData data available for BigQuery

available pipeline

159

extractable fields

Available integrations

Integration	Description
Clients	Table containing information about clients, including fields such as name, CNPJ, city, and status. Enables analysis of data like registration date and client stage.

Clients

Table containing information about clients, including fields such as name, CNPJ, city, and status. Enables analysis of data like registration date and client stage.

See all available data →

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How to send SenseData data to BigQuery

Sync data automatically — no code, no manual exports.

Connect SenseData Account

Access the data sources catalog and select SenseData to authenticate your account credentials. This establishes the initial connection to your customer success platform.

Configure BigQuery Destination

Specify your Google Cloud project and dataset details where the SenseData information should reside. Kondado supports direct delivery to BigQuery with automatic schema creation.

Select Pipelines and Schedule

Choose the Clients pipeline and define your replication frequency from 5-minute intervals to daily updates. Once activated, your SenseData will flow automatically to BigQuery without manual intervention.

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