Google AI and Microsoft Power BI Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Analyze Google AI insights within Microsoft Power BI dashboards using Latenode's visual editor. Combine AI with BI to identify trends, automate reporting, and scale custom analytics workflows affordably based on execution time.

Google AI + Microsoft Power BI integration

Connect Google AI and Microsoft Power BI in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Google AI

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Google AI and Microsoft Power BI

Create a New Scenario to Connect Google AI and Microsoft Power BI

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

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

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

+
1

Google AI

Configure the Google AI

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

+
1

Google AI

Node type

#1 Google AI

/

Name

Untitled

Connection *

Select

Map

Connect Google AI

Sign In
โต

Run node once

Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Google AI 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.

1

Google AI

โš™

+
2

Microsoft Power BI

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.

1

Google AI

โš™

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Sign In
โต

Run node once

Configure the Google AI 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.

1

Google AI

โš™

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Microsoft Power BI Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

โต

Run node once

Set Up the Google AI 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 donโ€™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.
5

JavaScript

โš™

6

AI Anthropic Claude 3

โš™

+
7

Microsoft Power BI

1

Trigger on Webhook

โš™

2

Google AI

โš™

โš™

3

Iterator

โš™

+
4

Webhook response

Save and Activate the Scenario

After configuring Google AI, Microsoft Power BI, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Google AI and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Google AI 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 Google AI and Microsoft Power BI

Google Sheets + Google AI + Microsoft Power BI: When a new row is added to a Google Sheet (e.g., a survey response), use Google AI's Gemini to analyze the text of the response. Store the AI-generated insights in the same Google Sheet, then use Power BI to automatically update the dashboard visualizing the trends.

Microsoft Power BI + Google AI + Slack: When Power BI detects a significant sales dip based on the updated dataset, use Google AI's Gemini to draft a possible explanation for the dip. Then, post this AI-generated explanation to a designated Slack channel to inform the sales team.

Google AI and Microsoft Power BI integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

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 Google AI and Microsoft Power BI

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

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

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

Can I automate sentiment analysis of customer feedback and visualize it?

Yes, you can! Latenode enables you to automate this by feeding feedback to Google AI, then displaying the analysis in Microsoft Power BI for data-driven decisions.

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

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

  • Generating reports based on AI-driven data insights automatically.
  • Creating dynamic dashboards with AI-generated summaries and visualizations.
  • Classifying text data from various sources, feeding results into reports.
  • Predicting trends in Power BI based on Google AI's forecasting capabilities.
  • Automating data enrichment with AI to enhance Power BI reporting.

How to use custom JavaScript code in the Google AI integration?

Latenode allows you to incorporate custom JavaScript code within your Google AI workflows for advanced logic and data transformation.

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

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

  • Rate limits imposed by Google AI and Microsoft Power BI APIs may affect performance.
  • Complex AI models require significant processing which may impact workflow speed.
  • Data transfer costs can increase with large data volumes between the two platforms.

Try now