Harvest and Microsoft Power BI Integration

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Combine Harvest time tracking data with Microsoft Power BI dashboards for smarter project analysis. Latenode's visual editor and affordable execution costs make custom reporting workflows simple and scalable, enhanced by optional JavaScript.

Harvest + Microsoft Power BI integration

Connect Harvest and Microsoft Power BI in minutes with Latenode.

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Harvest

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Harvest and Microsoft Power BI

Create a New Scenario to Connect Harvest and Microsoft Power BI

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

Add the Harvest Node

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

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Configure the Harvest

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

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Run node once

Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Harvest 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 Harvest 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 Harvest 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 Harvest, 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 β€œRun once” and triggering an event to check if the Harvest and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and Microsoft Power BI

Harvest + Google Sheets + Microsoft Power BI: When a new time entry is created in Harvest, the details are added to a Google Sheet. Microsoft Power BI then uses this data in the Google Sheet to update visualizations and reports.

Harvest + Microsoft Power BI + Slack: When new time entries are logged in Harvest, Power BI retrieves the dataset and if the project budget exceeds a limit, a notification is sent to Slack.

Harvest and Microsoft Power BI integration alternatives

About Harvest

Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.

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 Harvest and Microsoft Power BI

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

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

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

Can I automate report generation based on Harvest time entries?

Yes, you can! Latenode lets you automatically trigger Power BI reports when new time entries are added in Harvest, saving time and improving insights. Scale effortlessly with our cloud infrastructure.

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

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

  • Visualize project profitability using Harvest time data in Power BI dashboards.
  • Create custom reports on employee time allocation across different projects.
  • Track budget vs. actual hours spent on projects in real-time via Power BI.
  • Automate sending weekly timesheet summaries from Harvest to Power BI.
  • Combine Harvest data with other business metrics in Power BI for holistic analysis.

How can I handle data transformations between Harvest and Power BI?

Latenode offers powerful data transformation blocks, plus JavaScript support, letting you reshape Harvest data before it enters Power BI.

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

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

  • Historical data import from Harvest may require pagination and multiple API calls.
  • Complex data transformations might require JavaScript knowledge.
  • Power BI API rate limits can impact the frequency of data updates.

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