Basin and Microsoft Power BI Integration

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Basin + Microsoft Power BI integration

Connect Basin and Microsoft Power BI in minutes with Latenode.

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Automate your workflow

Swap Apps

Basin

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Basin and Microsoft Power BI

Create a New Scenario to Connect Basin and Microsoft Power BI

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 Basin, triggered by another scenario, or executed manually (for testing purposes). In most cases, Basin or Microsoft Power BI will be your first step. To do this, click "Choose an app," find Basin or Microsoft Power BI, and select the appropriate trigger to start the scenario.

Add the Basin Node

Select the Basin node from the app selection panel on the right.

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Configure the Basin

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

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Add the Microsoft Power BI Node

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

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Authenticate Microsoft Power BI

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

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Configure the Basin and Microsoft Power BI 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 Basin and Microsoft Power BI 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 Basin, Microsoft Power BI, 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 Basin and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Basin and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Basin and Microsoft Power BI

Basin + Google Sheets + Microsoft Power BI: When a new submission is received in Basin, the data is added to a Google Sheet. Power BI then uses this data to generate reports and visualizations.

Microsoft Power BI + Basin + Slack: When Power BI detects changes in a dataset linked to Basin submissions, a notification is sent to a specified Slack channel.

Basin and Microsoft Power BI integration alternatives

About Basin

Use Basin inside Latenode to capture form submissions without server-side code. Connect form data to any app via REST API or Webhooks, triggering automated workflows. Validate, transform, and route data with Latenode's visual editor, enhancing lead management and data collection, and avoiding back-end setup.

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.

See how Latenode works

FAQ Basin and Microsoft Power BI

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

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

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

Can I visualize form submissions in Power BI?

Yes, with Latenode you can automatically send Basin submissions to Microsoft Power BI for real-time data visualization. Benefit from Latenode’s flexible data transformation and custom logic.

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

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

  • Automatically updating Power BI dashboards with new form submissions.
  • Creating custom reports based on Basin form data.
  • Tracking form submission trends over time.
  • Alerting team members to significant data changes via Power BI.
  • Combining form data with other data sources for richer insights.

How easily can I transform Basin data for Power BI using Latenode?

Latenode’s visual editor and JavaScript blocks let you transform Basin data effortlessly before sending it to Power BI, ensuring data accuracy and relevance.

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

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

  • Real-time data updates depend on the Power BI data refresh rate.
  • Complex data transformations may require JavaScript knowledge.
  • Large data volumes could impact workflow execution time.

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