Microsoft Power BI and Google AI Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Enrich Microsoft Power BI dashboards with Google AI insights. Latenode's visual editor makes custom data analysis workflows accessible, while affordable execution-based pricing lets you scale AI-driven reports without breaking the bank.

Microsoft Power BI + Google AI integration

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

Start for free

Automate your workflow

Swap Apps

Microsoft Power BI

Google AI

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 Microsoft Power BI and Google AI

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

In the workspace, click the β€œCreate 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 Google AI will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Google AI, 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.

+
1

Microsoft Power BI

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.

+
1

Microsoft Power BI

Node type

#1 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Sign In
⏡

Run node once

Add the Google AI Node

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

1

Microsoft Power BI

βš™

+
2

Google AI

Authenticate Google AI

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

1

Microsoft Power BI

βš™

+
2

Google AI

Node type

#2 Google AI

/

Name

Untitled

Connection *

Select

Map

Connect Google AI

Sign In
⏡

Run node once

Configure the Microsoft Power BI and Google AI Nodes

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

1

Microsoft Power BI

βš™

+
2

Google AI

Node type

#2 Google AI

/

Name

Untitled

Connection *

Select

Map

Connect Google AI

Google AI Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

⏡

Run node once

Set Up the Microsoft Power BI and Google AI 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.
5

JavaScript

βš™

6

AI Anthropic Claude 3

βš™

+
7

Google AI

1

Trigger on Webhook

βš™

2

Microsoft Power BI

βš™

βš™

3

Iterator

βš™

+
4

Webhook response

Save and Activate the Scenario

After configuring Microsoft Power BI, Google AI, 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 β€œRun once” and triggering an event to check if the Microsoft Power BI and Google AI integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Google AI (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 Google AI

Microsoft Power BI + Google AI + Microsoft Excel: When a Power BI report is updated, the flow retrieves the report data, uses Google AI (Gemini) to analyze and generate insights, and saves these insights to a new row in a Microsoft Excel table.

Microsoft Power BI + Google AI + Slack: When a new dashboard is created in Power BI, the flow retrieves the dashboard and employs Google AI (Gemini) to summarize key insights. These insights are then posted as a message to a designated Slack channel.

Microsoft Power BI and Google AI 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 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.

See how Latenode works

FAQ Microsoft Power BI and Google AI

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

To connect your Microsoft Power BI account to Google AI 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 Google AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I generate reports from AI insights?

Yes, you can! Latenode enables seamless data flow for real-time reporting. Analyze Google AI data directly within Microsoft Power BI for faster, insightful dashboards.

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

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

  • Automating sentiment analysis of customer feedback data.
  • Creating dynamic reports with AI-driven insights.
  • Predicting future trends using AI and visualizing them.
  • Analyzing large datasets to identify key performance indicators.
  • Building custom dashboards that update in real-time.

HowsecureismydatawhenusingMicrosoftPowerBIonLatenode?

Latenode employs advanced encryption and security protocols to protect your data, ensuring secure data transfer and processing throughout your workflows.

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

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

  • Large data transfers may impact workflow execution speed.
  • Complex AI models may require significant processing resources.
  • Custom JavaScript code requires debugging and maintenance.

Try now