Connect FTP to Looker Studio: Dashboards in Minutes
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Visualize FTP Data in Looker Studio
How to visualize FTP data in Looker Studio? Kondado offers a direct connection that lets you replicate CSV files from your FTP server into beautiful, interactive dashboards without any technical setup or complex configuration required. Simply connect your FTP as a data source, select Looker Studio as your destination, and start building reports that help you track inventory levels, monitor sales performance, and analyze operational metrics extracted from your regularly uploaded business files. Business teams can now transform static spreadsheets into dynamic visualizations that update automatically on a configurable schedule, enabling faster decision-making without waiting for IT support or dealing with tedious manual data processing workflows every single morning.
Kondado connects your FTP server directly to Looker Studio without intermediate databases or coding, enabling automated updates every 5 minutes, 15 minutes, hourly, or daily so your file-based reports always reflect the latest business data.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With the CSV pipeline, you can visualize row-level details from your uploaded spreadsheets directly in Looker Studio. Track important metrics using the row_number and column_number fields to analyze data structure and completeness, or leverage the __file_basename field to distinguish between different files when consolidating multiple daily or weekly reports into unified dashboards. This setup helps operations teams monitor inventory counts from automated CSV drops, marketing teams analyze campaign performance results from exported platform data, and finance teams track transaction records without any manual file handling or tedious spreadsheet merging every morning.
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FTP data available in Looker Studio
Available integrations
| Integration | Description |
|---|---|
| CSV | Table includes fields such as row_number, column_number, and __file_basename, enabling analysis of data from files with varying columns. |
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