Slack to Power BI Integration

Configure the Slack to Power BI integration with Coupler.io to take your reporting to the next level. That way, you can discover all the conversation trends and patterns within your team instantly. Just create an importer within your Coupler.io account and go through a 3-step journey to make the data flow between tools.

Step 1: Collect data
Within your importer, select Slack as a source and Power BI as a destination. As the first step, connect to your Slack account and configure all the required source settings.

Select data that needs to be imported from Slack to Power BI using the Data entity dropdown. You can choose one of the options: Messages, Channels, and Users.

If you want to extract messages that contain specific phrases, type in the keywords in the Search query textbox.



Once finished with the source setting, go to the Transformation tab.

Step 2: Organize and transform data
Before you connect Slack to Power BI, get a preview of your Slack data generated by Coupler.io. If any adjustment or cleansing is needed, see which options Coupler.io offers for data management.

• Edit, rearrange, hide, or add columns.
• Apply filtering and sorting criteria to your data.
• Create columns with custom formulas.
• Merge data from numerous Slack accounts or other apps.

Step 3: Load and schedule refresh
At this point, you will have to connect to your Power BI and configure a number of settings for the destination app:

• Generate the integration URL and copy it.
• Open Power BI Desktop and paste this URL.
• If you want to make the Slack data flow recurring, indicate the scheduling parameters right after the destination setup within Coupler.io. Otherwise, save the importer and run it to start the integration immediately.

Automate your Slack data export to Power BI with the Coupler.io scheduling feature for seamless, up-to-date reporting. Set data refreshes to supply your Power BI dashboards with the latest conversation data. Coupler.io offers update intervals ranging from every month to every 15 minutes. Otherwise, specify days of the week, preferred times, and time zones to customize the data refresh schedule. Such automation contributes to the timeliness of reports and reduces human effort.