SELECT user_email, EXTRACT(DATE FROM clock_in_time) as work_date, FORMAT_TIMESTAMP('%A', clock_in_time) as day_of_week, SUM(TIMESTAMP_DIFF(clock_out_time, clock_in_time, HOUR)) as total_hours, SUM(CASE WHEN billable_status = 'Billable' THEN hours ELSE 0 END) as billable_hours FROM `qbo_time.raw_punches` WHERE clock_in_time > TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 90 DAY) GROUP BY 1,2,3
In the connector settings, select the or Time Entries data set. You can filter for specific dates, employees, or projects to keep the report focused. Step 4: Set the Destination
Looker Studio is often the story of a business moving from "guessing" to "knowing" their labor costs and team efficiency in real time. The Transformation Story: From Spreadsheets to Insights Imagine a project manager, "Sarah," who previously spent hours every Friday exporting CSVs from QuickBooks Time, cleaning them in Excel, and trying to visualize which projects were over-budget. By the time her report was ready, the data was already a week old. By using a connector like Coupler.io or Windsor.ai , Sarah automated the flow. Now, her Looker Studio dashboard updates every morning, showing: Live Labor Costs: Real-time visibility into how much is being spent on labor per project. Team Productivity: Charts that show which departments are hitting their marks and which are consistently under-performing. Budget vs. Actuals: A clear visual of when a project's hours are nearing the "red zone" before it becomes a financial problem. How the Connection Works To replicate this success, businesses typically follow these steps to bypass manual exports: Select a Connector: Use automated tools like Skyvia or CData Connect Cloud to bridge the two platforms without writing code. Authorize Access: Grant the connector permission to pull data from your QuickBooks Time account. Clean & Transform: Organize the data (filtering out unnecessary fields like internal admin time) before it hits the dashboard. Visualize in Looker Studio: Connect the new data source and drag-and-drop elements like
Important note: As of 2025, there is no native direct connector. You must build a pipeline.
SELECT user_email, EXTRACT(DATE FROM clock_in_time) as work_date, FORMAT_TIMESTAMP('%A', clock_in_time) as day_of_week, SUM(TIMESTAMP_DIFF(clock_out_time, clock_in_time, HOUR)) as total_hours, SUM(CASE WHEN billable_status = 'Billable' THEN hours ELSE 0 END) as billable_hours FROM `qbo_time.raw_punches` WHERE clock_in_time > TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 90 DAY) GROUP BY 1,2,3
In the connector settings, select the or Time Entries data set. You can filter for specific dates, employees, or projects to keep the report focused. Step 4: Set the Destination qbo time to looker studio
Looker Studio is often the story of a business moving from "guessing" to "knowing" their labor costs and team efficiency in real time. The Transformation Story: From Spreadsheets to Insights Imagine a project manager, "Sarah," who previously spent hours every Friday exporting CSVs from QuickBooks Time, cleaning them in Excel, and trying to visualize which projects were over-budget. By the time her report was ready, the data was already a week old. By using a connector like Coupler.io or Windsor.ai , Sarah automated the flow. Now, her Looker Studio dashboard updates every morning, showing: Live Labor Costs: Real-time visibility into how much is being spent on labor per project. Team Productivity: Charts that show which departments are hitting their marks and which are consistently under-performing. Budget vs. Actuals: A clear visual of when a project's hours are nearing the "red zone" before it becomes a financial problem. How the Connection Works To replicate this success, businesses typically follow these steps to bypass manual exports: Select a Connector: Use automated tools like Skyvia or CData Connect Cloud to bridge the two platforms without writing code. Authorize Access: Grant the connector permission to pull data from your QuickBooks Time account. Clean & Transform: Organize the data (filtering out unnecessary fields like internal admin time) before it hits the dashboard. Visualize in Looker Studio: Connect the new data source and drag-and-drop elements like Now, her Looker Studio dashboard updates every morning,
Important note: As of 2025, there is no native direct connector. You must build a pipeline. cleaning them in Excel
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