Connect Google Drive to Power BI

Coupler.io lets you collect and organize your data without any hassle. To set up the integration, you only need to complete three simple steps. After that, your data will be loaded automatically from Google Drive to Power BI.

Step 1: Collect data
Begin by connecting your Google account. This simple process requires you to authorize Coupler.io to access your Google Drive data. Once connected, select a file with the needed data. If you're exporting data from a spreadsheet, you'll also need to specify a sheet or several sheets.



Optionally, you can specify a data range.

Step 2: Organize and transform
After establishing the connection, the next phase is to organize and refine your data before it's imported into Power BI. Coupler.io provides an array of features to help you customize and prepare your data:

• Preview Data: Review your collected data to ensure you have selected the correct files and fields.
• Filter Data: Apply filters to narrow down the specific information you need, excluding unnecessary data points.
• Sort Data: Organize your data logically to facilitate better analysis and reporting.
• Hide and rename Columns: Hide the columns that you don't need. Change column names to make them more descriptive or relevant to your reporting needs.
• Adjust Column Sequence: Reorder columns to align with your preferred data structure.
• Add Custom Columns: Use formulas to create new columns that provide additional insights or calculations relevant to your data analysis.

This step lets you optimize the data according to your specific reporting requirements. As a result, you ensure that it is analysis-ready before it reaches Power BI.

Step 3: Load and automate
To import data from Google Drive to Power BI, follow the app’s guidance:

• Generate the integration URL and copy it.
• Open the Microsoft Power BI desktop, click Get data, and select the option to retrieve information from the web.
• Paste the integration URL into the respective field. You’ll be offered to additionally transform the data in the Power Query editor and load the dataset to Power BI. The data source is ready for visualization.

After the initial setup, you can schedule the integration’s data refresh. Enable the automatic data refresh and configure the desired schedule. The automation allows you to set specific intervals for data updates so your Power BI reports always reflect the latest information. Depending on your needs, you can choose from various scheduling options, such as daily, hourly, or even every 15 minutes.