Microsoft Power BI and Strava Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Visualize your fitness progress by connecting Strava activity data to Microsoft Power BI dashboards. Latenode's visual editor makes data transformation easy, and affordable execution-based pricing lets you scale insights from personal fitness to team wellness programs without breaking the bank.

Microsoft Power BI + Strava integration

Connect Microsoft Power BI and Strava in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Microsoft Power BI

Strava

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 Strava

Create a New Scenario to Connect Microsoft Power BI and Strava

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 Microsoft Power BI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Power BI or Strava will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Strava, 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
โต

Run node once

Add the Strava Node

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

1

Microsoft Power BI

โš™

+
2

Strava

Authenticate Strava

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

1

Microsoft Power BI

โš™

+
2

Strava

Node type

#2 Strava

/

Name

Untitled

Connection *

Select

Map

Connect Strava

Sign In
โต

Run node once

Configure the Microsoft Power BI and Strava 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

โš™

+
2

Strava

Node type

#2 Strava

/

Name

Untitled

Connection *

Select

Map

Connect Strava

Strava Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

โต

Run node once

Set Up the Microsoft Power BI and Strava 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

Strava

1

Trigger on Webhook

โš™

2

Microsoft Power BI

โš™

โš™

3

Iterator

โš™

+
4

Webhook response

Save and Activate the Scenario

After configuring Microsoft Power BI, Strava, 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 Microsoft Power BI and Strava integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Strava (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 Strava

Strava + Microsoft Power BI + Google Sheets: When a new activity is recorded in Strava, retrieve the athlete's statistics and create a dataset in Power BI. Then, add a summary row to a Google Sheet for reporting and tracking progress.

Strava + Microsoft Power BI + Microsoft Teams: After a new activity is created in Strava, retrieve the athlete's statistics. Create a dataset in Power BI with the new data and send a message to a Microsoft Teams channel summarizing the new activity.

Microsoft Power BI and Strava 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 Strava

Bring Strava data into Latenode to track fitness activity as part of wellness programs or location-based workflows. Automatically log workout data, trigger follow-up actions based on performance metrics, or send personalized messages. Latenode enables complex automation without code, combining Strava with other apps for custom solutions.

See how Latenode works

FAQ Microsoft Power BI and Strava

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

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

Can I visualize Strava activity data in Power BI dashboards?

Yes, easily! Latenode's data transformation tools and seamless integration empower you to send Strava data to Microsoft Power BI for advanced reporting and insightful dashboards.

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

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

  • Automatically updating Power BI dashboards with new Strava workout data.
  • Creating personalized fitness reports combining Strava and other data sources.
  • Tracking fitness goal progress using real-time data visualizations.
  • Generating weekly or monthly performance summaries for cycling or running.
  • Sharing performance insights with coaches or training groups via automated reports.

How do I schedule Power BI report updates using Latenode?

Latenode allows you to automate Microsoft Power BI report refreshes based on triggers or schedules, keeping your data current without manual intervention.

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

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

  • Large datasets from Strava might require optimized workflows for efficient processing.
  • Microsoft Power BI API call limits may affect the frequency of data updates.
  • Advanced data transformations might require some JavaScript knowledge.

Try now