Deepgram and Microsoft Power BI Integration

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Transform Deepgram audio transcriptions into actionable insights using Microsoft Power BI dashboards. Latenode's visual editor simplifies complex data flows, while affordable execution-based pricing scales effortlessly as your data grows.

Deepgram + Microsoft Power BI integration

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Step 2: Choose an Action

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How to connect Deepgram and Microsoft Power BI

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

Add the Deepgram Node

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

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Configure the Deepgram

Click on the Deepgram node to configure it. You can modify the Deepgram 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 Deepgram 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 Deepgram 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 Deepgram 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 Deepgram, 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 Deepgram and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Deepgram 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 Deepgram and Microsoft Power BI

Deepgram + Google Sheets + Microsoft Power BI: When Deepgram transcribes a prerecorded audio file, the transcript data is added as a new row in Google Sheets. Power BI then uses this data to create and update visualizations in a dashboard.

Microsoft Power BI + Deepgram + Slack: Power BI monitors datasets for unusual customer sentiment derived from Deepgram transcriptions. When unusual sentiment is detected, a Slack message is sent to a designated channel to alert support teams.

Deepgram and Microsoft Power BI integration alternatives

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

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 Deepgram and Microsoft Power BI

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

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

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

Can I analyze call center audio data and visualize trends?

Yes, you can! Latenode’s flexibility allows you to extract insights from Deepgram transcripts and visualize them in Microsoft Power BI, revealing trends and improving decision-making.

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

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

  • Generate reports on frequently spoken keywords from customer support calls.
  • Visualize sentiment trends in customer feedback transcribed by Deepgram.
  • Create dashboards showing call resolution times based on audio analysis.
  • Identify product mentions in sales calls and track conversion rates.
  • Monitor compliance by analyzing audio data and flagging policy violations.

WhatDeepgramfeaturescanIaccesswithinLatenode?

Latenode supports Deepgram’s advanced features, including diarization, sentiment analysis, language detection, and keyword extraction, all inside a visual builder.

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

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

  • Large audio files may require significant processing time.
  • Complex Power BI visualizations may require advanced data modeling skills.
  • Real-time audio analysis is not currently supported within this integration.

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