What data you can export from Toggl
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Time entriesScalable time tracking records with complete metadata for enterprise-scale analytics, machine learning applications, and comprehensive business intelligence using BigQuery's advanced analytical capabilities.
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OrganizationsEnterprise organizational data with complete hierarchical structures for large-scale organizational analysis and comprehensive multi-entity performance evaluation across enterprise environments.
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Organizations usersUser account information within organizational frameworks enabling enterprise-scale user analysis and sophisticated workforce productivity evaluation across large organizational structures.
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Organizations groupsGroup and team classifications for enterprise-level departmental analysis and advanced organizational performance evaluation using BigQuery's powerful analytical infrastructure.
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WorkspacesWorkspace configuration data for large-scale workspace analysis and comprehensive productivity evaluation across complex enterprise project environments and organizational structures.
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Workspace clientsClient relationship information within workspace contexts supporting enterprise-scale client analysis and comprehensive account performance evaluation for large client portfolios.
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Workspace projectsProject definition data for enterprise-scale project analysis and comprehensive project performance evaluation using BigQuery's advanced analytical capabilities and scalable infrastructure.
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Workspace tasksTask-level information for granular enterprise analysis and comprehensive task performance evaluation within large-scale project management and organizational frameworks.
All-in-one tool for Toggl data exports and analytics
Load time tracking information from Toggl into BigQuery and unite with enterprise systems, financial databases, and operational platforms for unlimited-scale analytics supporting complex data joins and comprehensive business intelligence queries.

Format time tracking records using BigQuery's columnar architecture with optimized schema design, intelligent partitioning strategies, and clustering techniques for maximum query performance on large time datasets.

Ensure BigQuery tables contain up-to-date information through automated pipeline execution from monthly to 15-minute intervals, supporting both real-time analytics and large-scale batch processing workflows for enterprise operations.

Use Coupler.io AI integrations to interact with your time tracking data through natural language, enabling sophisticated analysis without complex SQL query development.





Why export Toggl to BigQuery - real life cases
Enterprise-scale time tracking analytics
Advanced predictive modeling for project estimation
Real-time operational dashboards and monitoring
Regulatory compliance and audit trail management
How to export Toggl to BigQuery
Automate data exports with the no-code Toggl BigQuery integration
Connect similar Time Tracking apps and get data in minutes
Quick start with dashboard templates
about your case. It doesn't cost you a penny 😉
Talk to AI about your Toggl data
Examples of questions you can ask about Toggl data:
- "Analyze productivity patterns across all departments and predict next quarter's resource requirements"
- "Identify anomalies in time tracking patterns that might indicate process inefficiencies or training needs"
- "What correlations exist between project characteristics and time allocation across our enterprise portfolio?"
- "Generate comprehensive performance metrics and benchmarks based on all historical time tracking data"

Keep your data safe
Coupler.io safeguards your shared information and data transfers from breaches, leaks, and unauthorized disclosures.