Microsoft Power BI and Fillout Integration

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Microsoft Power BI + Fillout integration

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Microsoft Power BI

Fillout

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Power BI and Fillout

Create a New Scenario to Connect Microsoft Power BI and Fillout

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft Power BI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Power BI or Fillout will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Fillout, and select the appropriate trigger to start the scenario.

Add the Microsoft Power BI Node

Select the Microsoft Power BI node from the app selection panel on the right.

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Configure the Microsoft Power BI

Click on the Microsoft Power BI node to configure it. You can modify the Microsoft Power BI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Fillout Node

Next, click the plus (+) icon on the Microsoft Power BI node, select Fillout from the list of available apps, and choose the action you need from the list of nodes within Fillout.

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Authenticate Fillout

Now, click the Fillout node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fillout settings. Authentication allows you to use Fillout through Latenode.

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Configure the Microsoft Power BI and Fillout Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Microsoft Power BI and Fillout Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Microsoft Power BI, Fillout, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft Power BI and Fillout integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Fillout (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft Power BI and Fillout

Fillout + Google Sheets + Microsoft Power BI: When a new submission is received in Fillout, the data is added as a new row in Google Sheets. Power BI can then access and visualize the updated data from the Google Sheet.

Fillout + Microsoft Power BI + Slack: When a new submission arrives via Fillout, Power BI retrieves the latest dataset. If dataset values meet predefined thresholds, a Slack notification is sent.

Microsoft Power BI and Fillout integration alternatives

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

About Fillout

Use Fillout forms in Latenode to collect data and instantly trigger workflows. Instead of manual exports, automate follow-ups, database updates, or personalized emails based on form responses. Latenode lets you parse, transform, and route Fillout data to any app with full control and no per-step pricing.

See how Latenode works

FAQ Microsoft Power BI and Fillout

How can I connect my Microsoft Power BI account to Fillout using Latenode?

To connect your Microsoft Power BI account to Fillout on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft Power BI and click on "Connect".
  • Authenticate your Microsoft Power BI and Fillout accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I update Power BI datasets from Fillout form submissions?

Yes, you can! Latenode allows real-time data updates. Automate your Power BI dashboards directly from new Fillout entries, ensuring you always have the freshest insights.

What types of tasks can I perform by integrating Microsoft Power BI with Fillout?

Integrating Microsoft Power BI with Fillout allows you to perform various tasks, including:

  • Automatically refreshing Power BI dashboards on new Fillout submissions.
  • Creating personalized reports based on Fillout form data.
  • Triggering alerts in Power BI based on Fillout form responses.
  • Populating Fillout forms with data from Power BI datasets.
  • Analyzing Fillout data trends directly within Power BI.

How secure is the Microsoft Power BI integration on Latenode?

Latenode employs robust security measures, including encryption and secure authentication, to protect your data during Microsoft Power BI integrations.

Are there any limitations to the Microsoft Power BI and Fillout integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations might require custom JavaScript coding.
  • Large data volumes can affect workflow execution time.
  • Real-time updates depend on the Microsoft Power BI API rate limits.

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